Прогнозирование температуры звезды.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3cd398e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n",
      "Collecting torch==1.10.0+cpu\n",
      "  Downloading https://download.pytorch.org/whl/cpu/torch-1.10.0%2Bcpu-cp39-cp39-linux_x86_64.whl (199.3 MB)\n",
      "\u001b[K     |████████████████████████████████| 199.3 MB 11 kB/s /s eta 0:00:01MB 109.5 MB/s eta 0:00:01\n",
      "\u001b[?25hCollecting torchvision==0.11.0+cpu\n",
      "  Downloading https://download.pytorch.org/whl/cpu/torchvision-0.11.0%2Bcpu-cp39-cp39-linux_x86_64.whl (16.1 MB)\n",
      "\u001b[K     |████████████████████████████████| 16.1 MB 80 kB/s  eta 0:00:01\n",
      "\u001b[?25hCollecting torchaudio==0.10.0\n",
      "  Downloading https://download.pytorch.org/whl/rocm4.1/torchaudio-0.10.0%2Brocm4.1-cp39-cp39-linux_x86_64.whl (2.7 MB)\n",
      "\u001b[K     |████████████████████████████████| 2.7 MB 955 kB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: typing-extensions in /opt/conda/lib/python3.9/site-packages (from torch==1.10.0+cpu) (4.3.0)\n",
      "Requirement already satisfied: pillow!=8.3.0,>=5.3.0 in /opt/conda/lib/python3.9/site-packages (from torchvision==0.11.0+cpu) (8.4.0)\n",
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.9/site-packages (from torchvision==0.11.0+cpu) (1.21.1)\n",
      "Installing collected packages: torch, torchvision, torchaudio\n",
      "\u001b[33m  WARNING: The scripts convert-caffe2-to-onnx, convert-onnx-to-caffe2 and torchrun are installed in '/home/jovyan/.local/bin' which is not on PATH.\n",
      "  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\u001b[0m\n",
      "Successfully installed torch-1.10.0+cpu torchaudio-0.10.0+rocm4.1 torchvision-0.11.0+cpu\n"
     ]
    }
   ],
   "source": [
    "!pip install torch==1.10.0+cpu torchvision==0.11.0+cpu torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html --user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "7be5f3d2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting skorch\n",
      "  Downloading skorch-0.11.0-py3-none-any.whl (155 kB)\n",
      "\u001b[K     |████████████████████████████████| 155 kB 1.9 MB/s eta 0:00:01\n",
      "\u001b[?25hCollecting tabulate>=0.7.7\n",
      "  Downloading tabulate-0.8.10-py3-none-any.whl (29 kB)\n",
      "Requirement already satisfied: tqdm>=4.14.0 in /opt/conda/lib/python3.9/site-packages (from skorch) (4.61.2)\n",
      "Requirement already satisfied: scipy>=1.1.0 in /opt/conda/lib/python3.9/site-packages (from skorch) (1.9.1)\n",
      "Requirement already satisfied: numpy>=1.13.3 in /opt/conda/lib/python3.9/site-packages (from skorch) (1.21.1)\n",
      "Requirement already satisfied: scikit-learn>=0.19.1 in /opt/conda/lib/python3.9/site-packages (from skorch) (0.24.1)\n",
      "Requirement already satisfied: joblib>=0.11 in /opt/conda/lib/python3.9/site-packages (from scikit-learn>=0.19.1->skorch) (1.1.0)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn>=0.19.1->skorch) (3.1.0)\n",
      "Installing collected packages: tabulate, skorch\n",
      "Successfully installed skorch-0.11.0 tabulate-0.8.10\n"
     ]
    }
   ],
   "source": [
    "!pip install skorch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "4fb21ed5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sb\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import OrdinalEncoder\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "corresponding-armstrong",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-05T04:58:05.692448Z",
     "start_time": "2022-05-05T04:58:05.688565Z"
    }
   },
   "source": [
    "## Загрузка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "spectacular-folder",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Temperature (K)</th>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "      <th>Star type</th>\n",
       "      <th>Star color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3068</td>\n",
       "      <td>0.002400</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>16.12</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3042</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.1542</td>\n",
       "      <td>16.60</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2600</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>18.70</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2800</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.1600</td>\n",
       "      <td>16.65</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1939</td>\n",
       "      <td>0.000138</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>20.06</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  Temperature (K)  Luminosity(L/Lo)  Radius(R/Ro)  \\\n",
       "0           0             3068          0.002400        0.1700   \n",
       "1           1             3042          0.000500        0.1542   \n",
       "2           2             2600          0.000300        0.1020   \n",
       "3           3             2800          0.000200        0.1600   \n",
       "4           4             1939          0.000138        0.1030   \n",
       "\n",
       "   Absolute magnitude(Mv)  Star type Star color  \n",
       "0                   16.12          0        Red  \n",
       "1                   16.60          0        Red  \n",
       "2                   18.70          0        Red  \n",
       "3                   16.65          0        Red  \n",
       "4                   20.06          0        Red  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('/datasets/6_class.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "simple-subdivision",
   "metadata": {},
   "source": [
    "## Предобработка и анализ данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "flush-dream",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 240 entries, 0 to 239\n",
      "Data columns (total 7 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Unnamed: 0              240 non-null    int64  \n",
      " 1   Temperature (K)         240 non-null    int64  \n",
      " 2   Luminosity(L/Lo)        240 non-null    float64\n",
      " 3   Radius(R/Ro)            240 non-null    float64\n",
      " 4   Absolute magnitude(Mv)  240 non-null    float64\n",
      " 5   Star type               240 non-null    int64  \n",
      " 6   Star color              240 non-null    object \n",
      "dtypes: float64(3), int64(3), object(1)\n",
      "memory usage: 13.2+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "55ddc3df",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop('Unnamed: 0', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "621113a7",
   "metadata": {},
   "source": [
    "На данном этапе уже можно разделить признаки на количественные и категориальнные. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "1954b2d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Luminosity(L/Lo)', 'Radius(R/Ro)', 'Absolute magnitude(Mv)']\n"
     ]
    }
   ],
   "source": [
    "cat_features = ['Star type', 'Star color']\n",
    "num_features = list(data.drop(cat_features, axis=1).columns)\n",
    "num_features.remove('Temperature (K)') \n",
    "print(num_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "5df4c276",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 240 artists>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(data['Star type'], data['Temperature (K)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "be38cafd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.heatmap(data[['Star type','Temperature (K)']].corr(), cmap=\"YlGnBu\", annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac1a4ffc",
   "metadata": {},
   "source": [
    "Итак, по предыдущим двум графикам можно судить, что наибольшую температуру имеют Звёзды главной последовательности, Сверхгиганты и Гипергиганты. Так же можно заметить, что между температурой и типом звезды есть относительно средняя кореляция. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "ac6e63c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Star color'] = data['Star color'].str.lower()\n",
    "data['Star color'] = data['Star color'].str.strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "57a3a22e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['red' 'blue white' 'white' 'yellowish white' 'pale yellow orange' 'blue'\n",
      " 'blue-white' 'whitish' 'yellow-white' 'orange' 'white-yellow' 'yellowish'\n",
      " 'orange-red']\n"
     ]
    }
   ],
   "source": [
    "print(data['Star color'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "0607cfd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 240 artists>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20, 10))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.bar(data['Star color'], data['Temperature (K)'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad8788c8",
   "metadata": {},
   "source": [
    "Итак, здесь мы можем наблюдать, что самые высокие температуры характерны для звезд голубого и бело-голубого цвета "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "02bf520f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>107188.361635</td>\n",
       "      <td>237.157781</td>\n",
       "      <td>4.382396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>179432.244940</td>\n",
       "      <td>517.155763</td>\n",
       "      <td>10.532512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000080</td>\n",
       "      <td>0.008400</td>\n",
       "      <td>-11.920000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000865</td>\n",
       "      <td>0.102750</td>\n",
       "      <td>-6.232500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.070500</td>\n",
       "      <td>0.762500</td>\n",
       "      <td>8.313000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>198050.000000</td>\n",
       "      <td>42.750000</td>\n",
       "      <td>13.697500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>849420.000000</td>\n",
       "      <td>1948.500000</td>\n",
       "      <td>20.060000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Luminosity(L/Lo)  Radius(R/Ro)  Absolute magnitude(Mv)\n",
       "count        240.000000    240.000000              240.000000\n",
       "mean      107188.361635    237.157781                4.382396\n",
       "std       179432.244940    517.155763               10.532512\n",
       "min            0.000080      0.008400              -11.920000\n",
       "25%            0.000865      0.102750               -6.232500\n",
       "50%            0.070500      0.762500                8.313000\n",
       "75%       198050.000000     42.750000               13.697500\n",
       "max       849420.000000   1948.500000               20.060000"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[num_features].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "6412138b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "609ef988",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Temperature (K)           0\n",
       "Luminosity(L/Lo)          0\n",
       "Radius(R/Ro)              0\n",
       "Absolute magnitude(Mv)    0\n",
       "Star type                 0\n",
       "Star color                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "dd5ee855",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(6, 12))\n",
    "plt.boxplot(data[num_features], vert=True)\n",
    "plt.ylabel(\"Numeric Features\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f42cb434",
   "metadata": {},
   "source": [
    "Здесь можно заметить, что во втором признаке очень много выбросов. Количественные данные необходимо стандартизировать"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f40390e6",
   "metadata": {},
   "source": [
    "Преобразование категориальных и количественных признаков "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "e717f71e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature (K)</th>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "      <th>Star type</th>\n",
       "      <th>Star color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3068</td>\n",
       "      <td>0.002400</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>16.12</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3042</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.1542</td>\n",
       "      <td>16.60</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2600</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>18.70</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2800</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.1600</td>\n",
       "      <td>16.65</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1939</td>\n",
       "      <td>0.000138</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>20.06</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature (K)  Luminosity(L/Lo)  Radius(R/Ro)  Absolute magnitude(Mv)  \\\n",
       "0             3068          0.002400        0.1700                   16.12   \n",
       "1             3042          0.000500        0.1542                   16.60   \n",
       "2             2600          0.000300        0.1020                   18.70   \n",
       "3             2800          0.000200        0.1600                   16.65   \n",
       "4             1939          0.000138        0.1030                   20.06   \n",
       "\n",
       "   Star type Star color  \n",
       "0          0        red  \n",
       "1          0        red  \n",
       "2          0        red  \n",
       "3          0        red  \n",
       "4          0        red  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "7671ffed",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = data.drop('Temperature (K)', axis=1)\n",
    "target = data['Temperature (K)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "be59ca58",
   "metadata": {},
   "outputs": [],
   "source": [
    "features_train, features_test, target_train, target_test = train_test_split(features,target, random_state=123)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "b88432d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(180, 5)\n",
      "(60, 5)\n"
     ]
    }
   ],
   "source": [
    "print(features_train.shape)\n",
    "print(features_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "c7daeed8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(180,)\n",
      "(60,)\n"
     ]
    }
   ],
   "source": [
    "print(target_train.shape)\n",
    "print(target_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "bf8e85c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_67/4047798367.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  features_train[cat_features] = enc.transform(features_train[cat_features])\n",
      "/opt/conda/lib/python3.9/site-packages/pandas/core/indexing.py:1738: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value[:, i].tolist(), pi)\n",
      "/tmp/ipykernel_67/4047798367.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  features_test[cat_features] = enc.transform(features_test[cat_features])\n",
      "/opt/conda/lib/python3.9/site-packages/pandas/core/indexing.py:1738: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value[:, i].tolist(), pi)\n"
     ]
    }
   ],
   "source": [
    "enc = OrdinalEncoder(handle_unknown='use_encoded_value',\n",
    "                                 unknown_value=-1)\n",
    "enc.fit(features_train[cat_features])\n",
    "features_train[cat_features] = enc.transform(features_train[cat_features])\n",
    "features_test[cat_features] = enc.transform(features_test[cat_features])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "6512e97b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_67/2738894779.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  features_train[num_features] = scaler.transform(features_train[num_features])\n",
      "/opt/conda/lib/python3.9/site-packages/pandas/core/indexing.py:1637: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_block(indexer, value, name)\n",
      "/opt/conda/lib/python3.9/site-packages/pandas/core/indexing.py:692: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  iloc._setitem_with_indexer(indexer, value, self.name)\n",
      "/tmp/ipykernel_67/2738894779.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  features_test[num_features] = scaler.transform(features_test[num_features])\n",
      "/opt/conda/lib/python3.9/site-packages/pandas/core/indexing.py:1637: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_block(indexer, value, name)\n",
      "/opt/conda/lib/python3.9/site-packages/pandas/core/indexing.py:692: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  iloc._setitem_with_indexer(indexer, value, self.name)\n"
     ]
    }
   ],
   "source": [
    "scaler = StandardScaler()\n",
    "scaler.fit(features_train[num_features])\n",
    "features_train[num_features] = scaler.transform(features_train[num_features])\n",
    "features_test[num_features] = scaler.transform(features_test[num_features])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "63ba2b42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "      <th>Star type</th>\n",
       "      <th>Star color</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>-0.635640</td>\n",
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       "      <td>2.0</td>\n",
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       "      <th>179</th>\n",
       "      <td>0.696747</td>\n",
       "      <td>1.655950</td>\n",
       "      <td>-1.133393</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>185</th>\n",
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       "      <td>0.0</td>\n",
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       "      <th>192</th>\n",
       "      <td>-0.635640</td>\n",
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       "      <td>0.915805</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
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       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>3.379859</td>\n",
       "      <td>-0.304061</td>\n",
       "      <td>-1.048931</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Luminosity(L/Lo)  Radius(R/Ro)  Absolute magnitude(Mv)  Star type  \\\n",
       "205         -0.635640     -0.477004                0.716459        2.0   \n",
       "179          0.696747      1.655950               -1.133393        5.0   \n",
       "185         -0.635640     -0.476847                1.244584        0.0   \n",
       "192         -0.635640     -0.476504                0.915805        1.0   \n",
       "229          3.379859     -0.304061               -1.048931        4.0   \n",
       "\n",
       "     Star color  \n",
       "205         0.0  \n",
       "179         2.0  \n",
       "185         6.0  \n",
       "192         6.0  \n",
       "229         0.0  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "94840e77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "      <th>Star type</th>\n",
       "      <th>Star color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>2.0</td>\n",
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       "      <th>79</th>\n",
       "      <td>-0.635640</td>\n",
       "      <td>-0.476728</td>\n",
       "      <td>0.965878</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Luminosity(L/Lo)  Radius(R/Ro)  Absolute magnitude(Mv)  Star type  \\\n",
       "128         -0.635640     -0.476883                1.493057        0.0   \n",
       "160          0.560071     -0.369864               -0.914207        4.0   \n",
       "62          -0.635640     -0.476854                1.165223        0.0   \n",
       "206         -0.635640     -0.477006                0.641823        2.0   \n",
       "79          -0.635640     -0.476728                0.965878        1.0   \n",
       "\n",
       "     Star color  \n",
       "128         6.0  \n",
       "160         0.0  \n",
       "62          6.0  \n",
       "206         0.0  \n",
       "79          6.0  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "funded-electric",
   "metadata": {},
   "source": [
    "## Построение базовой нейронной сети"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "4ba4d051",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_in_neurons = 5\n",
    "n_hidden_neurons_1 = 4\n",
    "n_hidden_neurons_2 = 3\n",
    "n_out_neurons = 1 \n",
    "n_hidden_neurons_3 = 3 \n",
    "n_hidden_neurons_4 = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "forced-concentrate",
   "metadata": {},
   "outputs": [],
   "source": [
    "class NeuralNet(nn.Module):\n",
    "    def __init__(self, n_in_neurons, n_hidden_neurons_1, n_hidden_neurons_2, n_out_neurons):\n",
    "        super(NeuralNet, self).__init__()\n",
    "        self.fc1 = nn.Linear(n_in_neurons, n_hidden_neurons_1) \n",
    "        self.relu = nn.ReLU() \n",
    "        self.fc3 = nn.Linear(n_hidden_neurons_1, n_out_neurons)\n",
    "        self.out = nn.ReLU()\n",
    "    \n",
    "    def forward(self, x):\n",
    "        out = self.fc1(x)\n",
    "        out = self.relu(out)\n",
    "        out = self.fc3(out)\n",
    "        out = self.out(out)\n",
    "        return out\n",
    "\n",
    "\n",
    "    \n",
    "net = NeuralNet(n_in_neurons, n_hidden_neurons_1, n_hidden_neurons_2, n_out_neurons)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "943c0b95",
   "metadata": {},
   "outputs": [],
   "source": [
    "features_train = torch.FloatTensor(features_train.values)\n",
    "features_test = torch.FloatTensor(features_test.values)\n",
    "target_train = torch.FloatTensor(target_train.values)\n",
    "target_test = torch.FloatTensor(target_test.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "0dc7fdd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "134926000.0\n",
      "134376140.0\n",
      "133808670.0\n",
      "133223500.0\n",
      "132617010.0\n",
      "131989690.0\n",
      "131338480.0\n",
      "130668410.0\n",
      "129977530.0\n",
      "129262184.0\n",
      "128531120.0\n",
      "127782120.0\n",
      "127019530.0\n",
      "126235550.0\n",
      "125434120.0\n",
      "124616630.0\n",
      "123782320.0\n",
      "122932024.0\n",
      "122067304.0\n",
      "121190920.0\n",
      "120342320.0\n"
     ]
    }
   ],
   "source": [
    "optimizer = torch.optim.Adam(net.parameters(), lr=0.01)\n",
    "\n",
    "loss = nn.L1Loss()\n",
    "\n",
    "num_epochs = 400\n",
    "        \n",
    "for epoch in range(num_epochs):\n",
    "    optimizer.zero_grad()\n",
    "    \n",
    "    preds = net.forward(features_train).flatten()\n",
    "\n",
    "    loss_value = loss(preds, target_train)\n",
    "\n",
    "    loss_value.backward()\n",
    "\n",
    "    optimizer.step()\n",
    "\n",
    "    if epoch % 20 == 0 or epoch == num_epochs - 1:\n",
    "        net.eval()\n",
    "        test_preds = net.forward(features_test)\n",
    "        mse = mean_squared_error(target_test.detach().numpy(), test_preds.detach().numpy())\n",
    "        print(mse)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "0eb7e52e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Target       Preds\n",
      "0   2856.0  626.080505\n",
      "1  25390.0  382.384979\n",
      "2   2983.0  622.369202\n",
      "3  24020.0  274.261505\n",
      "4   3158.0  697.259460\n"
     ]
    }
   ],
   "source": [
    "plot_data = pd.DataFrame(target_test)\n",
    "plot_data['Preds'] = test_preds.detach().numpy()\n",
    "plot_data.columns = ['Target', 'Preds']\n",
    "print(plot_data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "a019a50a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_data.loc[:12].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5ba6724",
   "metadata": {},
   "source": [
    "Итак, пока можно сказать, что модель плохо справляется со своей задачей. Это можно увидеть и по метрике RMSE и по графику. Вся надежда на подбор параметров модели"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "growing-supply",
   "metadata": {},
   "source": [
    "## Улучшение нейронной сети"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "b1a53ce1",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Model(nn.Module):\n",
    "    def __init__(self, n_hidden_neurons_1, n_hidden_neurons_2, n_hidden_neurons_3, n_hidden_neurons_4, dropout, activation):\n",
    "        super(Model, self).__init__()\n",
    "        self.layer1 = nn.Linear(5, n_hidden_neurons_1)\n",
    "        self.dp = nn.Dropout(p=dropout)\n",
    "        self.layer2 = nn.Linear(n_hidden_neurons_1, n_hidden_neurons_2)\n",
    "        self.layer3 = nn.Linear(n_hidden_neurons_2, n_hidden_neurons_3)\n",
    "        self.layer4 = nn.Linear(n_hidden_neurons_3, n_hidden_neurons_4)\n",
    "        self.layer5 = nn.Linear(n_hidden_neurons_4, 1)\n",
    "        self.activation = activation\n",
    "        \n",
    "    def forward(self, x):\n",
    "        x = self.layer1(x)\n",
    "        x = self.activation(x)\n",
    "        x = self.dp(x)\n",
    "        x = self.layer2(x)\n",
    "        x = self.activation(x)\n",
    "        x = self.dp(x)\n",
    "        x = self.layer3(x)\n",
    "        x = self.activation(x)\n",
    "        x = self.dp(x)\n",
    "        x = self.layer4(x)\n",
    "        x = self.activation(x)\n",
    "        x = self.dp(x)\n",
    "        x = self.layer5(x)\n",
    "        \n",
    "        \n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "7952f1b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_in_neurons = 5\n",
    "n_hidden_neurons_1 = 4\n",
    "n_hidden_neurons_2 = 3\n",
    "n_hidden_neurons_3 = 3\n",
    "n_hidden_neurons_4 = 3\n",
    "activation = nn.ReLU()\n",
    "dropout = 0\n",
    "n_out_neurons = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "4c9e5c63",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_base = Model(n_hidden_neurons_1, n_hidden_neurons_2, n_hidden_neurons_3, n_hidden_neurons_4, dropout, activation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "9c2622e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import make_scorer\n",
    "def rmse(y_true, y_pred):\n",
    "    return mean_squared_error(y_true, y_pred) ** 0.5\n",
    "\n",
    "rmse_scorer = make_scorer(rmse) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "3a3a6053",
   "metadata": {},
   "outputs": [],
   "source": [
    "params = {\n",
    "    'module__dropout': [0, 0.2, 0.5],\n",
    "    'module__n_hidden_neurons_1': range(15, 30, 5),\n",
    "    'module__n_hidden_neurons_2': range(10, 20, 4),\n",
    "    'module__n_hidden_neurons_3': range(6, 13, 3),\n",
    "    'module__n_hidden_neurons_4': range(3, 8, 2),\n",
    "    'module__activation': [nn.LeakyReLU(), nn.Tanh(), nn.ReLU(), nn.ELU()],\n",
    "    'lr': [1e-3, 1e-4]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "7f14f753",
   "metadata": {},
   "outputs": [],
   "source": [
    "from skorch.callbacks import EpochScoring, EarlyStopping\n",
    "from skorch.regressor import NeuralNetClassifier\n",
    "from skorch.dataset import ValidSplit\n",
    "skorch_regressor = NeuralNetClassifier(module=model_base, \n",
    "                                      device='cpu',  \n",
    "                                      verbose=3,\n",
    "                                      batch_size=4,\n",
    "                                      optimizer=torch.optim.Adam, \n",
    "                                      max_epochs=2500, \n",
    "                                      lr=1e-3,\n",
    "                                      train_split=ValidSplit(cv=5),\n",
    "                                      criterion =nn.MSELoss,\n",
    "                                      callbacks=[\n",
    "                ('val_rmse', EpochScoring(scoring=rmse_scorer, lower_is_better=True, name='RMSE')),\n",
    "                ('estoper', EarlyStopping( lower_is_better=True, monitor='RMSE', patience=5)),\n",
    "            ],\n",
    "                                     ) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "d7737533",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 3 folds for each of 10 candidates, totalling 30 fits\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.4660\u001b[0m  \u001b[32m246712232.9583\u001b[0m  \u001b[35m61676930.6667\u001b[0m  0.0277\n",
      "      2  \u001b[36m7853.4505\u001b[0m  \u001b[32m246711820.3333\u001b[0m  \u001b[35m61676682.0000\u001b[0m  0.0282\n",
      "      3  \u001b[36m7853.4334\u001b[0m  \u001b[32m246711367.6250\u001b[0m  \u001b[35m61676421.0000\u001b[0m  0.0286\n",
      "      4  \u001b[36m7853.4151\u001b[0m  \u001b[32m246710879.5833\u001b[0m  \u001b[35m61676130.3333\u001b[0m  0.0268\n",
      "      5  \u001b[36m7853.3954\u001b[0m  \u001b[32m246710357.6667\u001b[0m  \u001b[35m61675819.0000\u001b[0m  0.0270\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=15, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.3024\u001b[0m  \u001b[32m252359519.4167\u001b[0m  \u001b[35m223272416.0000\u001b[0m  0.0272\n",
      "      2  \u001b[36m14942.2676\u001b[0m  \u001b[32m252358425.7917\u001b[0m  \u001b[35m223271377.6667\u001b[0m  0.0252\n",
      "      3  \u001b[36m14942.2312\u001b[0m  \u001b[32m252357260.3333\u001b[0m  \u001b[35m223270248.6667\u001b[0m  0.0259\n",
      "      4  \u001b[36m14942.1899\u001b[0m  \u001b[32m252356007.8750\u001b[0m  \u001b[35m223269035.3333\u001b[0m  0.0275\n",
      "      5  \u001b[36m14942.1450\u001b[0m  \u001b[32m252354639.6667\u001b[0m  \u001b[35m223267699.0000\u001b[0m  0.0264\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=15, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.8206\u001b[0m  \u001b[32m199131777.1250\u001b[0m  \u001b[35m223287918.3333\u001b[0m  0.0366\n",
      "      2  \u001b[36m14942.7944\u001b[0m  \u001b[32m199131042.0000\u001b[0m  \u001b[35m223287100.0000\u001b[0m  0.0280\n",
      "      3  \u001b[36m14942.7665\u001b[0m  \u001b[32m199130278.0833\u001b[0m  \u001b[35m223286258.0000\u001b[0m  0.0327\n",
      "      4  \u001b[36m14942.7366\u001b[0m  \u001b[32m199129491.6667\u001b[0m  \u001b[35m223285365.3333\u001b[0m  0.0317\n",
      "      5  \u001b[36m14942.7050\u001b[0m  \u001b[32m199128669.2083\u001b[0m  \u001b[35m223284447.6667\u001b[0m  0.0270\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=15, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   0.2s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.1678\u001b[0m  \u001b[32m246705600.7500\u001b[0m  \u001b[35m61672246.3333\u001b[0m  0.0359\n",
      "      2  \u001b[36m7853.0667\u001b[0m  \u001b[32m246702574.1667\u001b[0m  \u001b[35m61670658.6667\u001b[0m  0.0307\n",
      "      3  \u001b[36m7852.9454\u001b[0m  \u001b[32m246699389.0000\u001b[0m  \u001b[35m61668749.0000\u001b[0m  0.0314\n",
      "      4  \u001b[36m7852.7761\u001b[0m  \u001b[32m246695211.6667\u001b[0m  \u001b[35m61666089.3333\u001b[0m  0.0328\n",
      "      5  \u001b[36m7852.5367\u001b[0m  \u001b[32m246690782.4167\u001b[0m  \u001b[35m61662333.0000\u001b[0m  0.0319\n",
      "      6  \u001b[36m7852.2351\u001b[0m  \u001b[32m246688713.8750\u001b[0m  \u001b[35m61657597.6667\u001b[0m  0.0366\n",
      "      7  \u001b[36m7851.7303\u001b[0m  \u001b[32m246672057.4167\u001b[0m  \u001b[35m61649669.0000\u001b[0m  0.0312\n",
      "      8  \u001b[36m7850.8364\u001b[0m  \u001b[32m246643454.8750\u001b[0m  \u001b[35m61635630.0000\u001b[0m  0.0311\n",
      "      9  \u001b[36m7849.2764\u001b[0m  \u001b[32m246613373.8333\u001b[0m  \u001b[35m61611138.6667\u001b[0m  0.0389\n",
      "     10  \u001b[36m7846.8019\u001b[0m  \u001b[32m246549162.0000\u001b[0m  \u001b[35m61572299.6667\u001b[0m  0.0307\n",
      "     11  \u001b[36m7842.7947\u001b[0m  \u001b[32m246474683.5833\u001b[0m  \u001b[35m61509430.0000\u001b[0m  0.0319\n",
      "     12  \u001b[36m7836.8851\u001b[0m  \u001b[32m246360585.5000\u001b[0m  \u001b[35m61416768.3333\u001b[0m  0.0359\n",
      "     13  \u001b[36m7826.2530\u001b[0m  \u001b[32m246039576.0000\u001b[0m  \u001b[35m61250234.6667\u001b[0m  0.0303\n",
      "     14  \u001b[36m7810.3892\u001b[0m  \u001b[32m245510794.0417\u001b[0m  \u001b[35m61002180.6667\u001b[0m  0.0304\n",
      "     15  \u001b[36m7787.9941\u001b[0m  \u001b[32m245206335.3750\u001b[0m  \u001b[35m60652857.6667\u001b[0m  0.0364\n",
      "     16  \u001b[36m7757.9453\u001b[0m  \u001b[32m244797494.2083\u001b[0m  \u001b[35m60185715.3333\u001b[0m  0.0325\n",
      "     17  \u001b[36m7712.3963\u001b[0m  \u001b[32m243347781.6250\u001b[0m  \u001b[35m59481052.0000\u001b[0m  0.0300\n",
      "     18  \u001b[36m7641.5551\u001b[0m  \u001b[32m241030184.5833\u001b[0m  \u001b[35m58393362.0000\u001b[0m  0.0362\n",
      "     19  \u001b[36m7559.2791\u001b[0m  \u001b[32m238321904.4167\u001b[0m  \u001b[35m57142694.3333\u001b[0m  0.0325\n",
      "     20  \u001b[36m7441.5095\u001b[0m  \u001b[32m233785622.3333\u001b[0m  \u001b[35m55376062.3333\u001b[0m  0.0319\n",
      "     21  \u001b[36m7301.5790\u001b[0m  234178173.6667  \u001b[35m53313053.0000\u001b[0m  0.0314\n",
      "     22  \u001b[36m7135.3699\u001b[0m  \u001b[32m226322509.8542\u001b[0m  \u001b[35m50913505.6667\u001b[0m  0.0298\n",
      "     23  \u001b[36m6929.9088\u001b[0m  \u001b[32m222822678.5833\u001b[0m  \u001b[35m48023636.6667\u001b[0m  0.0346\n",
      "     24  \u001b[36m6718.2519\u001b[0m  \u001b[32m219046409.0000\u001b[0m  \u001b[35m45134905.1667\u001b[0m  0.0319\n",
      "     25  \u001b[36m6522.3815\u001b[0m  \u001b[32m212998543.8750\u001b[0m  \u001b[35m42541459.6667\u001b[0m  0.0312\n",
      "     26  \u001b[36m6324.8459\u001b[0m  \u001b[32m208768755.2760\u001b[0m  \u001b[35m40003680.7500\u001b[0m  0.0339\n",
      "     27  \u001b[36m6171.0502\u001b[0m  209400963.6250  \u001b[35m38081860.6667\u001b[0m  0.0289\n",
      "     28  \u001b[36m6034.3142\u001b[0m  \u001b[32m195797107.5417\u001b[0m  \u001b[35m36412946.5000\u001b[0m  0.0291\n",
      "     29  \u001b[36m5922.0196\u001b[0m  200220821.3333  \u001b[35m35070315.5417\u001b[0m  0.0310\n",
      "     30  \u001b[36m5849.2830\u001b[0m  \u001b[32m188755806.9167\u001b[0m  \u001b[35m34214115.4583\u001b[0m  0.0299\n",
      "     31  \u001b[36m5787.8340\u001b[0m  194758061.1875  \u001b[35m33499022.4167\u001b[0m  0.0302\n",
      "     32  \u001b[36m5744.2387\u001b[0m  197778687.1458  \u001b[35m32996279.5000\u001b[0m  0.0351\n",
      "     33  \u001b[36m5700.5431\u001b[0m  189843333.0000  \u001b[35m32496190.3333\u001b[0m  0.0302\n",
      "     34  5706.8142  224712282.2292  32567729.1667  0.0310\n",
      "     35  \u001b[36m5699.6772\u001b[0m  192498031.0000  \u001b[35m32486320.8333\u001b[0m  0.0391\n",
      "     36  \u001b[36m5667.9513\u001b[0m  \u001b[32m182190452.4583\u001b[0m  \u001b[35m32125671.1667\u001b[0m  0.0303\n",
      "     37  \u001b[36m5649.0178\u001b[0m  202080375.3333  \u001b[35m31911403.8333\u001b[0m  0.0318\n",
      "     38  \u001b[36m5648.8553\u001b[0m  205766936.1667  \u001b[35m31909565.6667\u001b[0m  0.0334\n",
      "     39  \u001b[36m5637.8627\u001b[0m  183920345.0000  \u001b[35m31785493.7500\u001b[0m  0.0321\n",
      "     40  \u001b[36m5598.0673\u001b[0m  \u001b[32m178711627.0833\u001b[0m  \u001b[35m31338358.1667\u001b[0m  0.0304\n",
      "     41  \u001b[36m5578.0900\u001b[0m  197648467.5000  \u001b[35m31115087.1667\u001b[0m  0.0428\n",
      "     42  \u001b[36m5549.5335\u001b[0m  \u001b[32m171962269.0208\u001b[0m  \u001b[35m30797323.0833\u001b[0m  0.0327\n",
      "     43  \u001b[36m5533.7765\u001b[0m  175985801.6667  \u001b[35m30622684.0000\u001b[0m  0.0322\n",
      "     44  \u001b[36m5524.2370\u001b[0m  186460983.2708  \u001b[35m30517193.5833\u001b[0m  0.0341\n",
      "     45  \u001b[36m5518.0134\u001b[0m  \u001b[32m158837821.5833\u001b[0m  \u001b[35m30448472.8333\u001b[0m  0.0320\n",
      "     46  \u001b[36m5511.2010\u001b[0m  178002875.0000  \u001b[35m30373335.5000\u001b[0m  0.0374\n",
      "     47  \u001b[36m5500.2187\u001b[0m  168934832.0208  \u001b[35m30252406.3333\u001b[0m  0.0322\n",
      "     48  \u001b[36m5499.2525\u001b[0m  172063527.7500  \u001b[35m30241779.6667\u001b[0m  0.0336\n",
      "     49  \u001b[36m5496.4168\u001b[0m  159314004.8333  \u001b[35m30210598.0000\u001b[0m  0.0361\n",
      "     50  5501.6805  161707119.5625  30268489.3333  0.0315\n",
      "     51  5500.7249  180802427.7500  30257975.0000  0.0320\n",
      "     52  5513.8604  168676165.7083  30402654.1667  0.0372\n",
      "     53  \u001b[36m5490.7815\u001b[0m  183483010.7917  \u001b[35m30148684.3333\u001b[0m  0.0337\n",
      "     54  \u001b[36m5487.8499\u001b[0m  182460942.7083  \u001b[35m30116496.3333\u001b[0m  0.0431\n",
      "     55  \u001b[36m5482.2968\u001b[0m  171407013.2604  \u001b[35m30055580.5000\u001b[0m  0.0312\n",
      "     56  \u001b[36m5462.2310\u001b[0m  187826495.2500  \u001b[35m29835968.3333\u001b[0m  0.0323\n",
      "     57  \u001b[36m5441.8932\u001b[0m  201981387.7292  \u001b[35m29614203.0000\u001b[0m  0.0393\n",
      "     58  5447.2960  \u001b[32m151601202.5000\u001b[0m  29673031.8333  0.0316\n",
      "     59  \u001b[36m5429.2254\u001b[0m  190210994.1667  \u001b[35m29476486.8333\u001b[0m  0.0310\n",
      "     60  \u001b[36m5409.8200\u001b[0m  193165925.5833  \u001b[35m29266153.8333\u001b[0m  0.0404\n",
      "     61  \u001b[36m5387.6178\u001b[0m  178730712.1250  \u001b[35m29026426.6667\u001b[0m  0.0311\n",
      "     62  \u001b[36m5382.0221\u001b[0m  159721309.0625  \u001b[35m28966162.9167\u001b[0m  0.0304\n",
      "     63  \u001b[36m5377.0810\u001b[0m  174218535.9167  \u001b[35m28913001.9167\u001b[0m  0.0370\n",
      "     64  5380.5165  152038352.9167  28949959.0000  0.0316\n",
      "     65  \u001b[36m5371.1029\u001b[0m  165591311.4167  \u001b[35m28848746.8333\u001b[0m  0.0327\n",
      "     66  \u001b[36m5368.3346\u001b[0m  179364509.5000  \u001b[35m28819015.2500\u001b[0m  0.0313\n",
      "     67  \u001b[36m5360.5477\u001b[0m  \u001b[32m149303105.9167\u001b[0m  \u001b[35m28735474.1667\u001b[0m  0.0314\n",
      "     68  5361.7564  156799526.2292  28748431.3333  0.0356\n",
      "     69  \u001b[36m5349.1465\u001b[0m  168747081.0833  \u001b[35m28613368.0833\u001b[0m  0.0327\n",
      "     70  \u001b[36m5344.4641\u001b[0m  180780103.5000  \u001b[35m28563296.6667\u001b[0m  0.0319\n",
      "     71  \u001b[36m5329.7469\u001b[0m  168879535.3958  \u001b[35m28406200.2500\u001b[0m  0.0385\n",
      "     72  \u001b[36m5323.2839\u001b[0m  157335370.4167  \u001b[35m28337351.2500\u001b[0m  0.0341\n",
      "     73  \u001b[36m5310.4145\u001b[0m  182520438.9583  \u001b[35m28200499.9167\u001b[0m  0.0353\n",
      "     74  \u001b[36m5310.2864\u001b[0m  159281314.8021  \u001b[35m28199140.6667\u001b[0m  0.0407\n",
      "     75  5318.7185  \u001b[32m143383038.5208\u001b[0m  28288766.4167  0.0330\n",
      "     76  5330.2976  \u001b[32m142584680.0833\u001b[0m  28412073.1667  0.0380\n",
      "     77  5340.2163  143493442.8333  28517906.6667  0.0317\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0.5, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   2.8s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.3870\u001b[0m  \u001b[32m252362253.6667\u001b[0m  \u001b[35m223274935.3333\u001b[0m  0.0448\n",
      "      2  \u001b[36m14942.2799\u001b[0m  \u001b[32m252360011.8750\u001b[0m  \u001b[35m223271715.0000\u001b[0m  0.0318\n",
      "      3  \u001b[36m14942.1541\u001b[0m  \u001b[32m252356481.5000\u001b[0m  \u001b[35m223267971.6667\u001b[0m  0.0313\n",
      "      4  \u001b[36m14941.9442\u001b[0m  \u001b[32m252350530.7500\u001b[0m  \u001b[35m223261683.3333\u001b[0m  0.0311\n",
      "      5  \u001b[36m14941.6631\u001b[0m  \u001b[32m252344416.3333\u001b[0m  \u001b[35m223253302.6667\u001b[0m  0.0315\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0.5, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.6381\u001b[0m  \u001b[32m199131247.0417\u001b[0m  \u001b[35m223282434.3333\u001b[0m  0.0323\n",
      "      2  \u001b[36m14942.4582\u001b[0m  \u001b[32m199125002.3333\u001b[0m  \u001b[35m223277068.0000\u001b[0m  0.0325\n",
      "      3  \u001b[36m14942.2338\u001b[0m  \u001b[32m199118789.6667\u001b[0m  \u001b[35m223270351.3333\u001b[0m  0.0363\n",
      "      4  \u001b[36m14941.8890\u001b[0m  \u001b[32m199111213.9167\u001b[0m  \u001b[35m223260033.3333\u001b[0m  0.0323\n",
      "      5  \u001b[36m14941.3788\u001b[0m  \u001b[32m199100725.6667\u001b[0m  \u001b[35m223244796.6667\u001b[0m  0.0326\n",
      "      6  \u001b[36m14940.6094\u001b[0m  \u001b[32m199081543.3333\u001b[0m  \u001b[35m223221802.6667\u001b[0m  0.0322\n",
      "      7  \u001b[36m14939.6005\u001b[0m  \u001b[32m199071339.1667\u001b[0m  \u001b[35m223191666.6667\u001b[0m  0.0313\n",
      "      8  \u001b[36m14938.4085\u001b[0m  \u001b[32m199056250.8333\u001b[0m  \u001b[35m223156045.6667\u001b[0m  0.0386\n",
      "      9  \u001b[36m14936.2276\u001b[0m  \u001b[32m198992344.4583\u001b[0m  \u001b[35m223090896.6667\u001b[0m  0.0331\n",
      "     10  \u001b[36m14933.2065\u001b[0m  \u001b[32m198929260.8333\u001b[0m  \u001b[35m223000648.0000\u001b[0m  0.0344\n",
      "     11  \u001b[36m14928.4475\u001b[0m  \u001b[32m198811697.4167\u001b[0m  \u001b[35m222858545.6667\u001b[0m  0.0461\n",
      "     12  \u001b[36m14919.5560\u001b[0m  \u001b[32m198463955.3333\u001b[0m  \u001b[35m222593156.3333\u001b[0m  0.0320\n",
      "     13  \u001b[36m14908.4819\u001b[0m  \u001b[32m198327353.7500\u001b[0m  \u001b[35m222262824.0000\u001b[0m  0.0313\n",
      "     14  \u001b[36m14892.9981\u001b[0m  \u001b[32m197871727.1667\u001b[0m  \u001b[35m221801387.3333\u001b[0m  0.0358\n",
      "     15  \u001b[36m14874.4275\u001b[0m  197953066.9167  \u001b[35m221248601.6667\u001b[0m  0.0311\n",
      "     16  \u001b[36m14850.6765\u001b[0m  \u001b[32m197044431.7917\u001b[0m  \u001b[35m220542610.6667\u001b[0m  0.0408\n",
      "     17  \u001b[36m14817.1150\u001b[0m  \u001b[32m196439839.2083\u001b[0m  \u001b[35m219546903.0000\u001b[0m  0.0322\n",
      "     18  \u001b[36m14776.0368\u001b[0m  \u001b[32m194754687.4167\u001b[0m  \u001b[35m218331247.3333\u001b[0m  0.0308\n",
      "     19  \u001b[36m14722.7220\u001b[0m  \u001b[32m194689271.1250\u001b[0m  \u001b[35m216758530.0000\u001b[0m  0.0379\n",
      "     20  \u001b[36m14669.6001\u001b[0m  \u001b[32m193693974.8333\u001b[0m  \u001b[35m215197172.0000\u001b[0m  0.0317\n",
      "     21  \u001b[36m14600.1792\u001b[0m  \u001b[32m192715403.3542\u001b[0m  \u001b[35m213165218.0000\u001b[0m  0.0315\n",
      "     22  \u001b[36m14508.8663\u001b[0m  \u001b[32m188683964.2083\u001b[0m  \u001b[35m210507188.0000\u001b[0m  0.0386\n",
      "     23  \u001b[36m14408.6257\u001b[0m  \u001b[32m186114761.7500\u001b[0m  \u001b[35m207608477.3333\u001b[0m  0.0320\n",
      "     24  \u001b[36m14293.7502\u001b[0m  \u001b[32m183474895.4583\u001b[0m  \u001b[35m204311280.6667\u001b[0m  0.0364\n",
      "     25  \u001b[36m14178.1370\u001b[0m  185477037.0833  \u001b[35m201019562.6667\u001b[0m  0.0320\n",
      "     26  \u001b[36m14062.1552\u001b[0m  \u001b[32m181536025.7917\u001b[0m  \u001b[35m197744223.0000\u001b[0m  0.0299\n",
      "     27  \u001b[36m13926.9425\u001b[0m  \u001b[32m171865766.4583\u001b[0m  \u001b[35m193959712.0000\u001b[0m  0.0360\n",
      "     28  \u001b[36m13838.1727\u001b[0m  182946835.9479  \u001b[35m191495016.6667\u001b[0m  0.0388\n",
      "     29  \u001b[36m13765.6413\u001b[0m  176923175.1250  \u001b[35m189492886.0833\u001b[0m  0.0366\n",
      "     30  \u001b[36m13629.5326\u001b[0m  \u001b[32m162347732.4062\u001b[0m  \u001b[35m185764160.7500\u001b[0m  0.0365\n",
      "     31  \u001b[36m13509.0701\u001b[0m  169070291.2500  \u001b[35m182494999.3333\u001b[0m  0.0394\n",
      "     32  \u001b[36m13416.9707\u001b[0m  165055148.3438  \u001b[35m180015099.6667\u001b[0m  0.0459\n",
      "     33  \u001b[36m13329.1590\u001b[0m  168908771.6458  \u001b[35m177666491.4167\u001b[0m  0.0341\n",
      "     34  \u001b[36m13192.1850\u001b[0m  \u001b[32m150531837.0000\u001b[0m  \u001b[35m174033735.2500\u001b[0m  0.0318\n",
      "     35  \u001b[36m13101.8100\u001b[0m  171425055.2917  \u001b[35m171657422.5000\u001b[0m  0.0366\n",
      "     36  \u001b[36m13042.6138\u001b[0m  168541656.2917  \u001b[35m170109797.5000\u001b[0m  0.0314\n",
      "     37  \u001b[36m12994.0657\u001b[0m  156561988.7708  \u001b[35m168845739.6667\u001b[0m  0.0320\n",
      "     38  \u001b[36m12908.1444\u001b[0m  152496394.6458  \u001b[35m166620194.3750\u001b[0m  0.0408\n",
      "     39  \u001b[36m12869.9563\u001b[0m  169087775.5833  \u001b[35m165635777.0000\u001b[0m  0.0326\n",
      "     40  \u001b[36m12852.2533\u001b[0m  168839564.5260  \u001b[35m165180417.0417\u001b[0m  0.0379\n",
      "     41  12880.6230  172120422.7917  165910456.2917  0.0317\n",
      "     42  \u001b[36m12848.3917\u001b[0m  167648919.7083  \u001b[35m165081180.7083\u001b[0m  0.0308\n",
      "     43  \u001b[36m12831.9844\u001b[0m  159320735.1250  \u001b[35m164659817.8750\u001b[0m  0.0361\n",
      "     44  \u001b[36m12741.6922\u001b[0m  159635305.8750  \u001b[35m162350718.4583\u001b[0m  0.0391\n",
      "     45  \u001b[36m12713.7626\u001b[0m  165066965.3750  \u001b[35m161639757.6250\u001b[0m  0.0340\n",
      "     46  \u001b[36m12662.9532\u001b[0m  152766280.5208  \u001b[35m160350390.6250\u001b[0m  0.0393\n",
      "     47  \u001b[36m12615.6455\u001b[0m  151088605.6042  \u001b[35m159154507.9583\u001b[0m  0.0313\n",
      "     48  \u001b[36m12541.9922\u001b[0m  154009087.4167  \u001b[35m157301565.7500\u001b[0m  0.0399\n",
      "     49  12633.1551  191830870.3750  159596611.3333  0.0347\n",
      "     50  12647.1518  155149439.6250  159950453.5417  0.0344\n",
      "     51  12572.8768  \u001b[32m147767101.0417\u001b[0m  158077228.5833  0.0402\n",
      "     52  \u001b[36m12500.0627\u001b[0m  \u001b[32m141899924.2708\u001b[0m  \u001b[35m156251559.5417\u001b[0m  0.0331\n",
      "     53  \u001b[36m12445.5827\u001b[0m  150014566.9167  \u001b[35m154892513.4167\u001b[0m  0.0332\n",
      "     54  \u001b[36m12409.7349\u001b[0m  163528687.3854  \u001b[35m154001517.2500\u001b[0m  0.0378\n",
      "     55  12411.5952  168195354.0417  154047705.4167  0.0330\n",
      "     56  \u001b[36m12394.1980\u001b[0m  154211453.3333  \u001b[35m153616155.9583\u001b[0m  0.0371\n",
      "     57  \u001b[36m12342.9455\u001b[0m  \u001b[32m141279894.4792\u001b[0m  \u001b[35m152348299.4167\u001b[0m  0.0335\n",
      "     58  12408.5815  190752577.9583  153972902.5417  0.0330\n",
      "     59  12405.0074  151259885.2083  153884205.1667  0.0409\n",
      "     60  12381.7382  153862343.3333  153307423.7917  0.0322\n",
      "     61  \u001b[36m12326.0914\u001b[0m  141721850.3750  \u001b[35m151932522.0417\u001b[0m  0.0336\n",
      "     62  \u001b[36m12287.2422\u001b[0m  152601289.3750  \u001b[35m150976327.1250\u001b[0m  0.0416\n",
      "     63  \u001b[36m12259.9876\u001b[0m  150658917.2344  \u001b[35m150307297.5000\u001b[0m  0.0323\n",
      "     64  \u001b[36m12239.1647\u001b[0m  171408218.9375  \u001b[35m149797152.0833\u001b[0m  0.0345\n",
      "     65  \u001b[36m12208.0990\u001b[0m  155802270.6250  \u001b[35m149037679.8333\u001b[0m  0.0310\n",
      "     66  \u001b[36m12153.7069\u001b[0m  \u001b[32m133256678.9375\u001b[0m  \u001b[35m147712584.4583\u001b[0m  0.0366\n",
      "     67  \u001b[36m12142.1902\u001b[0m  161747428.7917  \u001b[35m147432783.4167\u001b[0m  0.0505\n",
      "     68  12168.7488  166650006.4792  148078437.9583  0.0474\n",
      "     69  12186.8598  171571931.9167  148519555.7917  0.0460\n",
      "     70  12167.4313  147803213.2083  148046387.9583  0.0422\n",
      "     71  \u001b[36m12140.9515\u001b[0m  160864640.4167  \u001b[35m147402716.6250\u001b[0m  0.0450\n",
      "     72  \u001b[36m12111.5502\u001b[0m  142432316.3750  \u001b[35m146689640.8333\u001b[0m  0.0312\n",
      "     73  12119.2798  156744385.3125  146876939.6667  0.0308\n",
      "     74  \u001b[36m12073.8375\u001b[0m  146258223.3125  \u001b[35m145777564.5417\u001b[0m  0.0362\n",
      "     75  \u001b[36m12063.8833\u001b[0m  160107676.8333  \u001b[35m145537284.3750\u001b[0m  0.0308\n",
      "     76  12064.8866  166131339.7917  145561495.3333  0.0299\n",
      "     77  \u001b[36m12056.3524\u001b[0m  151594293.9792  \u001b[35m145355628.4167\u001b[0m  0.0369\n",
      "     78  \u001b[36m12004.6744\u001b[0m  135753058.3802  \u001b[35m144112210.5000\u001b[0m  0.0397\n",
      "     79  \u001b[36m11939.1122\u001b[0m  156705781.0625  \u001b[35m142542396.3750\u001b[0m  0.0337\n",
      "     80  \u001b[36m11898.9761\u001b[0m  135137378.6875  \u001b[35m141585627.8750\u001b[0m  0.0324\n",
      "     81  \u001b[36m11876.6615\u001b[0m  156464729.9167  \u001b[35m141055084.0417\u001b[0m  0.0331\n",
      "     82  \u001b[36m11850.7498\u001b[0m  155802387.2500  \u001b[35m140440275.6250\u001b[0m  0.0428\n",
      "     83  \u001b[36m11802.4221\u001b[0m  151642753.9375  \u001b[35m139297165.4583\u001b[0m  0.0311\n",
      "     84  \u001b[36m11735.2726\u001b[0m  144569734.7292  \u001b[35m137716630.1250\u001b[0m  0.0310\n",
      "     85  \u001b[36m11705.4681\u001b[0m  158430666.4583  \u001b[35m137017980.8333\u001b[0m  0.0377\n",
      "     86  \u001b[36m11679.7568\u001b[0m  156996393.2083  \u001b[35m136416716.2917\u001b[0m  0.0328\n",
      "     87  \u001b[36m11656.4880\u001b[0m  137509855.2917  \u001b[35m135873717.4167\u001b[0m  0.0415\n",
      "     88  \u001b[36m11636.5060\u001b[0m  146887141.2292  \u001b[35m135408285.7917\u001b[0m  0.0320\n",
      "     89  11652.6502  166225309.2083  135784261.3750  0.0301\n",
      "     90  11645.1157  138944066.8958  135608716.0833  0.0358\n",
      "     91  \u001b[36m11605.4146\u001b[0m  141141580.3333  \u001b[35m134685664.8750\u001b[0m  0.0302\n",
      "     92  \u001b[36m11593.6748\u001b[0m  152184486.5208  \u001b[35m134413298.9583\u001b[0m  0.0317\n",
      "     93  \u001b[36m11576.0083\u001b[0m  134942456.9583  \u001b[35m134003976.5833\u001b[0m  0.0374\n",
      "     94  \u001b[36m11558.9941\u001b[0m  160896554.7812  \u001b[35m133610346.3333\u001b[0m  0.0309\n",
      "     95  \u001b[36m11532.5182\u001b[0m  142188551.0208  \u001b[35m132998977.8750\u001b[0m  0.0312\n",
      "     96  \u001b[36m11519.6344\u001b[0m  154111355.5000  \u001b[35m132701980.6250\u001b[0m  0.0380\n",
      "     97  \u001b[36m11488.2340\u001b[0m  141388283.1042  \u001b[35m131979516.5833\u001b[0m  0.0376\n",
      "     98  \u001b[36m11410.5677\u001b[0m  138905946.8958  \u001b[35m130201054.7500\u001b[0m  0.0442\n",
      "     99  \u001b[36m11372.8037\u001b[0m  136015011.1458  \u001b[35m129340656.6667\u001b[0m  0.0415\n",
      "    100  \u001b[36m11361.2073\u001b[0m  149062111.3750  \u001b[35m129077025.0000\u001b[0m  0.0309\n",
      "    101  \u001b[36m11304.2650\u001b[0m  \u001b[32m122774103.4896\u001b[0m  \u001b[35m127786419.8750\u001b[0m  0.0396\n",
      "    102  \u001b[36m11237.5595\u001b[0m  \u001b[32m112673318.2917\u001b[0m  \u001b[35m126282742.9167\u001b[0m  0.0310\n",
      "    103  11318.7748  174626128.7083  128114661.2083  0.0317\n",
      "    104  11360.2518  168718232.6875  129055318.7500  0.0319\n",
      "    105  11387.2490  136174420.7708  129669449.1667  0.0313\n",
      "    106  11383.5306  132207532.8750  129584762.7917  0.0322\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0.5, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   4.0s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.0180\u001b[0m  \u001b[32m246701111.7917\u001b[0m  \u001b[35m61669893.3333\u001b[0m  0.0322\n",
      "      2  \u001b[36m7853.0083\u001b[0m  \u001b[32m246699201.2500\u001b[0m  \u001b[35m61669736.6667\u001b[0m  0.0367\n",
      "      3  \u001b[36m7852.9982\u001b[0m  246699445.5417  \u001b[35m61669581.0000\u001b[0m  0.0291\n",
      "      4  \u001b[36m7852.9892\u001b[0m  246699897.4167  \u001b[35m61669442.3333\u001b[0m  0.0322\n",
      "      5  \u001b[36m7852.9808\u001b[0m  246699557.8750  \u001b[35m61669309.6667\u001b[0m  0.0429\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.5138\u001b[0m  \u001b[32m252366698.6667\u001b[0m  \u001b[35m223278696.0000\u001b[0m  0.0403\n",
      "      2  \u001b[36m14942.5080\u001b[0m  \u001b[32m252365795.5000\u001b[0m  \u001b[35m223278560.0000\u001b[0m  0.0326\n",
      "      3  \u001b[36m14942.5037\u001b[0m  \u001b[32m252365533.4167\u001b[0m  \u001b[35m223278424.0000\u001b[0m  0.0300\n",
      "      4  \u001b[36m14942.4983\u001b[0m  \u001b[32m252365267.0000\u001b[0m  \u001b[35m223278268.6667\u001b[0m  0.0367\n",
      "      5  \u001b[36m14942.4930\u001b[0m  252365688.3333  \u001b[35m223278109.3333\u001b[0m  0.0305\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.4239\u001b[0m  \u001b[32m199121690.3333\u001b[0m  \u001b[35m223276032.0000\u001b[0m  0.0378\n",
      "      2  \u001b[36m14942.4132\u001b[0m  199123061.2500  \u001b[35m223275702.6667\u001b[0m  0.0417\n",
      "      3  \u001b[36m14942.3998\u001b[0m  \u001b[32m199120922.0000\u001b[0m  \u001b[35m223275307.0000\u001b[0m  0.0371\n",
      "      4  \u001b[36m14942.3875\u001b[0m  \u001b[32m199119849.7917\u001b[0m  \u001b[35m223274948.0000\u001b[0m  0.0317\n",
      "      5  \u001b[36m14942.3741\u001b[0m  \u001b[32m199117752.3333\u001b[0m  \u001b[35m223274541.3333\u001b[0m  0.0317\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.0575\u001b[0m  \u001b[32m246701183.0833\u001b[0m  \u001b[35m61670510.6667\u001b[0m  0.0384\n",
      "      2  \u001b[36m7853.0496\u001b[0m  \u001b[32m246700994.7500\u001b[0m  \u001b[35m61670389.3333\u001b[0m  0.0300\n",
      "      3  \u001b[36m7853.0402\u001b[0m  \u001b[32m246700784.9167\u001b[0m  \u001b[35m61670241.6667\u001b[0m  0.0354\n",
      "      4  \u001b[36m7853.0300\u001b[0m  \u001b[32m246700558.5000\u001b[0m  \u001b[35m61670076.6667\u001b[0m  0.0296\n",
      "      5  \u001b[36m7853.0180\u001b[0m  \u001b[32m246700311.0000\u001b[0m  \u001b[35m61669895.3333\u001b[0m  0.0288\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.0001, module__activation=ReLU(), module__dropout=0, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=14, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.6193\u001b[0m  \u001b[32m252369136.6667\u001b[0m  \u001b[35m223281911.3333\u001b[0m  0.0288\n",
      "      2  \u001b[36m14942.6129\u001b[0m  \u001b[32m252368921.7500\u001b[0m  \u001b[35m223281683.0000\u001b[0m  0.0289\n",
      "      3  \u001b[36m14942.6054\u001b[0m  \u001b[32m252368689.2500\u001b[0m  \u001b[35m223281450.6667\u001b[0m  0.0406\n",
      "      4  \u001b[36m14942.5979\u001b[0m  \u001b[32m252368450.0000\u001b[0m  \u001b[35m223281227.3333\u001b[0m  0.0337\n",
      "      5  \u001b[36m14942.5909\u001b[0m  \u001b[32m252368199.5000\u001b[0m  \u001b[35m223281008.6667\u001b[0m  0.0349\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.0001, module__activation=ReLU(), module__dropout=0, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=14, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.5818\u001b[0m  \u001b[32m199125293.4583\u001b[0m  \u001b[35m223280755.3333\u001b[0m  0.0323\n",
      "      2  \u001b[36m14942.5765\u001b[0m  \u001b[32m199125154.4167\u001b[0m  \u001b[35m223280612.3333\u001b[0m  0.0371\n",
      "      3  \u001b[36m14942.5711\u001b[0m  \u001b[32m199125024.6667\u001b[0m  \u001b[35m223280454.6667\u001b[0m  0.0313\n",
      "      4  \u001b[36m14942.5652\u001b[0m  \u001b[32m199124886.5000\u001b[0m  \u001b[35m223280276.6667\u001b[0m  0.0289\n",
      "      5  \u001b[36m14942.5610\u001b[0m  \u001b[32m199124741.4583\u001b[0m  \u001b[35m223280128.6667\u001b[0m  0.0303\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.0001, module__activation=ReLU(), module__dropout=0, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=14, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.8034\u001b[0m  \u001b[32m246721423.8333\u001b[0m  \u001b[35m61682228.6667\u001b[0m  0.0368\n",
      "      2  \u001b[36m7853.7960\u001b[0m  \u001b[32m246721226.1667\u001b[0m  \u001b[35m61682107.0000\u001b[0m  0.0303\n",
      "      3  \u001b[36m7853.7886\u001b[0m  \u001b[32m246721009.4583\u001b[0m  \u001b[35m61681993.3333\u001b[0m  0.0313\n",
      "      4  \u001b[36m7853.7810\u001b[0m  \u001b[32m246720808.5417\u001b[0m  \u001b[35m61681873.0000\u001b[0m  0.0367\n",
      "      5  \u001b[36m7853.7734\u001b[0m  \u001b[32m246720599.8333\u001b[0m  \u001b[35m61681751.3333\u001b[0m  0.0334\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.0001, module__activation=ReLU(), module__dropout=0, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=6, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14943.0407\u001b[0m  \u001b[32m252382468.9167\u001b[0m  \u001b[35m223294448.0000\u001b[0m  0.0435\n",
      "      2  \u001b[36m14943.0305\u001b[0m  \u001b[32m252382168.7500\u001b[0m  \u001b[35m223294168.0000\u001b[0m  0.0362\n",
      "      3  \u001b[36m14943.0219\u001b[0m  \u001b[32m252381882.1667\u001b[0m  \u001b[35m223293913.3333\u001b[0m  0.0459\n",
      "      4  \u001b[36m14943.0134\u001b[0m  \u001b[32m252381612.7917\u001b[0m  \u001b[35m223293659.3333\u001b[0m  0.0300\n",
      "      5  \u001b[36m14943.0059\u001b[0m  \u001b[32m252381356.4583\u001b[0m  \u001b[35m223293434.0000\u001b[0m  0.0323\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.0001, module__activation=ReLU(), module__dropout=0, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=6, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.5610\u001b[0m  \u001b[32m199124783.2083\u001b[0m  \u001b[35m223280156.6667\u001b[0m  0.0314\n",
      "      2  \u001b[36m14942.5561\u001b[0m  \u001b[32m199124620.3750\u001b[0m  \u001b[35m223279972.0000\u001b[0m  0.0354\n",
      "      3  \u001b[36m14942.5497\u001b[0m  \u001b[32m199124456.0417\u001b[0m  \u001b[35m223279795.3333\u001b[0m  0.0316\n",
      "      4  \u001b[36m14942.5444\u001b[0m  \u001b[32m199124301.2083\u001b[0m  \u001b[35m223279638.0000\u001b[0m  0.0304\n",
      "      5  \u001b[36m14942.5411\u001b[0m  \u001b[32m199124177.1250\u001b[0m  \u001b[35m223279515.0000\u001b[0m  0.0392\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.0001, module__activation=ReLU(), module__dropout=0, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=6, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.0124\u001b[0m  \u001b[32m246700975.2500\u001b[0m  \u001b[35m61669800.6667\u001b[0m  0.0372\n",
      "      2  \u001b[36m7852.9044\u001b[0m  \u001b[32m246698740.7083\u001b[0m  \u001b[35m61668103.3333\u001b[0m  0.0307\n",
      "      3  \u001b[36m7852.7786\u001b[0m  \u001b[32m246695711.9167\u001b[0m  \u001b[35m61666132.0000\u001b[0m  0.0304\n",
      "      4  \u001b[36m7852.6574\u001b[0m  \u001b[32m246692014.2917\u001b[0m  \u001b[35m61664225.3333\u001b[0m  0.0365\n",
      "      5  \u001b[36m7852.5173\u001b[0m  \u001b[32m246689393.9167\u001b[0m  \u001b[35m61662028.3333\u001b[0m  0.0306\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.001, module__activation=Tanh(), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.9695\u001b[0m  \u001b[32m252382066.4167\u001b[0m  \u001b[35m223292338.0000\u001b[0m  0.0333\n",
      "      2  \u001b[36m14942.7623\u001b[0m  \u001b[32m252376351.3750\u001b[0m  \u001b[35m223286148.6667\u001b[0m  0.0321\n",
      "      3  \u001b[36m14942.5481\u001b[0m  \u001b[32m252372027.0000\u001b[0m  \u001b[35m223279745.6667\u001b[0m  0.0322\n",
      "      4  \u001b[36m14942.3618\u001b[0m  \u001b[32m252367299.5833\u001b[0m  \u001b[35m223274193.3333\u001b[0m  0.0394\n",
      "      5  \u001b[36m14942.1755\u001b[0m  \u001b[32m252359196.4167\u001b[0m  \u001b[35m223268609.3333\u001b[0m  0.0323\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.001, module__activation=Tanh(), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.5246\u001b[0m  \u001b[32m199124286.2500\u001b[0m  \u001b[35m223279035.3333\u001b[0m  0.0326\n",
      "      2  \u001b[36m14942.4539\u001b[0m  \u001b[32m199122799.2500\u001b[0m  \u001b[35m223276924.0000\u001b[0m  0.0332\n",
      "      3  \u001b[36m14942.3709\u001b[0m  \u001b[32m199121523.4583\u001b[0m  \u001b[35m223274461.0000\u001b[0m  0.0413\n",
      "      4  \u001b[36m14942.2820\u001b[0m  \u001b[32m199119882.5833\u001b[0m  \u001b[35m223271791.6667\u001b[0m  0.0334\n",
      "      5  \u001b[36m14942.1653\u001b[0m  \u001b[32m199117220.6667\u001b[0m  \u001b[35m223268340.6667\u001b[0m  0.0303\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.001, module__activation=Tanh(), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.5752\u001b[0m  \u001b[32m246717136.8750\u001b[0m  \u001b[35m61678645.6667\u001b[0m  0.0280\n",
      "      2  \u001b[36m7853.2844\u001b[0m  \u001b[32m246710555.5833\u001b[0m  \u001b[35m61674075.3333\u001b[0m  0.0289\n",
      "      3  \u001b[36m7852.6388\u001b[0m  \u001b[32m246697250.0000\u001b[0m  \u001b[35m61663932.3333\u001b[0m  0.0344\n",
      "      4  \u001b[36m7851.2409\u001b[0m  \u001b[32m246668783.7083\u001b[0m  \u001b[35m61641977.6667\u001b[0m  0.0281\n",
      "      5  \u001b[36m7848.4207\u001b[0m  \u001b[32m246610649.9167\u001b[0m  \u001b[35m61597706.3333\u001b[0m  0.0288\n",
      "      6  \u001b[36m7842.9395\u001b[0m  \u001b[32m246496260.9167\u001b[0m  \u001b[35m61511699.3333\u001b[0m  0.0330\n",
      "      7  \u001b[36m7832.5148\u001b[0m  \u001b[32m246276112.2500\u001b[0m  \u001b[35m61348282.3333\u001b[0m  0.0287\n",
      "      8  \u001b[36m7813.4809\u001b[0m  \u001b[32m245865956.9583\u001b[0m  \u001b[35m61050486.0000\u001b[0m  0.0281\n",
      "      9  \u001b[36m7780.6036\u001b[0m  \u001b[32m245139660.0833\u001b[0m  \u001b[35m60537792.0000\u001b[0m  0.0323\n",
      "     10  \u001b[36m7727.0178\u001b[0m  \u001b[32m243925136.8750\u001b[0m  \u001b[35m59706804.3333\u001b[0m  0.0282\n",
      "     11  \u001b[36m7644.3935\u001b[0m  \u001b[32m242003812.2500\u001b[0m  \u001b[35m58436749.3333\u001b[0m  0.0279\n",
      "     12  \u001b[36m7523.5183\u001b[0m  \u001b[32m239117933.2917\u001b[0m  \u001b[35m56603327.0000\u001b[0m  0.0390\n",
      "     13  \u001b[36m7355.6661\u001b[0m  \u001b[32m234990939.9792\u001b[0m  \u001b[35m54105824.0000\u001b[0m  0.0273\n",
      "     14  \u001b[36m7135.1757\u001b[0m  \u001b[32m229366352.9792\u001b[0m  \u001b[35m50910727.3333\u001b[0m  0.0269\n",
      "     15  \u001b[36m6863.6620\u001b[0m  \u001b[32m222069287.2500\u001b[0m  \u001b[35m47109858.5000\u001b[0m  0.0325\n",
      "     16  \u001b[36m6555.9362\u001b[0m  \u001b[32m213087753.6979\u001b[0m  \u001b[35m42980299.3333\u001b[0m  0.0278\n",
      "     17  \u001b[36m6246.1777\u001b[0m  \u001b[32m202657752.0104\u001b[0m  \u001b[35m39014737.1667\u001b[0m  0.0278\n",
      "     18  \u001b[36m5988.9468\u001b[0m  \u001b[32m191313598.2656\u001b[0m  \u001b[35m35867485.6250\u001b[0m  0.0277\n",
      "     19  \u001b[36m5844.5712\u001b[0m  \u001b[32m179839476.4375\u001b[0m  \u001b[35m34159014.7500\u001b[0m  0.0276\n",
      "     20  5844.9770  \u001b[32m169063809.5000\u001b[0m  34163753.2500  0.0285\n",
      "     21  5968.3428  \u001b[32m159545988.6667\u001b[0m  35621115.6667  0.0303\n",
      "     22  6160.5159  \u001b[32m151405626.0833\u001b[0m  37951957.1667  0.0341\n",
      "     23  6375.0169  \u001b[32m144470108.1667\u001b[0m  40640838.6667  0.0286\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   0.8s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.7242\u001b[0m  \u001b[32m252374381.2083\u001b[0m  \u001b[35m223285004.3333\u001b[0m  0.0295\n",
      "      2  \u001b[36m14942.5551\u001b[0m  \u001b[32m252369831.1667\u001b[0m  \u001b[35m223279960.0000\u001b[0m  0.0292\n",
      "      3  \u001b[36m14942.2842\u001b[0m  \u001b[32m252363039.0000\u001b[0m  \u001b[35m223271851.6667\u001b[0m  0.0374\n",
      "      4  \u001b[36m14941.8355\u001b[0m  \u001b[32m252351912.0000\u001b[0m  \u001b[35m223258428.6667\u001b[0m  0.0311\n",
      "      5  \u001b[36m14941.0420\u001b[0m  \u001b[32m252332856.3333\u001b[0m  \u001b[35m223234754.0000\u001b[0m  0.0310\n",
      "      6  \u001b[36m14939.5197\u001b[0m  \u001b[32m252297442.5833\u001b[0m  \u001b[35m223189245.6667\u001b[0m  0.0353\n",
      "      7  \u001b[36m14936.4697\u001b[0m  \u001b[32m252227023.1667\u001b[0m  \u001b[35m223098125.0000\u001b[0m  0.0295\n",
      "      8  \u001b[36m14930.5062\u001b[0m  \u001b[32m252086757.8333\u001b[0m  \u001b[35m222920011.3333\u001b[0m  0.0328\n",
      "      9  \u001b[36m14919.4895\u001b[0m  \u001b[32m251820148.0000\u001b[0m  \u001b[35m222591177.6667\u001b[0m  0.0352\n",
      "     10  \u001b[36m14900.3624\u001b[0m  \u001b[32m251343770.4167\u001b[0m  \u001b[35m222020798.3333\u001b[0m  0.0320\n",
      "     11  \u001b[36m14869.0024\u001b[0m  \u001b[32m250543140.2500\u001b[0m  \u001b[35m221087228.0000\u001b[0m  0.0416\n",
      "     12  \u001b[36m14820.1895\u001b[0m  \u001b[32m249270068.5000\u001b[0m  \u001b[35m219638031.0000\u001b[0m  0.0391\n",
      "     13  \u001b[36m14747.6436\u001b[0m  \u001b[32m247343379.6667\u001b[0m  \u001b[35m217492988.3333\u001b[0m  0.0362\n",
      "     14  \u001b[36m14644.2382\u001b[0m  \u001b[32m244556235.1250\u001b[0m  \u001b[35m214453736.6667\u001b[0m  0.0369\n",
      "     15  \u001b[36m14502.4494\u001b[0m  \u001b[32m240691806.5000\u001b[0m  \u001b[35m210321043.6667\u001b[0m  0.0306\n",
      "     16  \u001b[36m14315.1495\u001b[0m  \u001b[32m235547844.4167\u001b[0m  \u001b[35m204923496.6667\u001b[0m  0.0310\n",
      "     17  \u001b[36m14076.7883\u001b[0m  \u001b[32m228973155.6667\u001b[0m  \u001b[35m198155966.1667\u001b[0m  0.0375\n",
      "     18  \u001b[36m13785.0470\u001b[0m  \u001b[32m220915430.8750\u001b[0m  \u001b[35m190027522.8333\u001b[0m  0.0292\n",
      "     19  \u001b[36m13442.8491\u001b[0m  \u001b[32m211475107.8542\u001b[0m  \u001b[35m180710180.0000\u001b[0m  0.0306\n",
      "     20  \u001b[36m13060.2658\u001b[0m  \u001b[32m200950103.7344\u001b[0m  \u001b[35m170570552.8333\u001b[0m  0.0336\n",
      "     21  \u001b[36m12655.2339\u001b[0m  \u001b[32m189845104.6146\u001b[0m  \u001b[35m160154948.8750\u001b[0m  0.0284\n",
      "     22  \u001b[36m12251.2967\u001b[0m  \u001b[32m178808360.9948\u001b[0m  \u001b[35m150094276.6250\u001b[0m  0.0320\n",
      "     23  \u001b[36m11871.0761\u001b[0m  \u001b[32m168470166.2500\u001b[0m  \u001b[35m140922455.7917\u001b[0m  0.0383\n",
      "     24  \u001b[36m11528.1901\u001b[0m  \u001b[32m159230910.5417\u001b[0m  \u001b[35m132899171.2917\u001b[0m  0.0305\n",
      "     25  \u001b[36m11225.2376\u001b[0m  \u001b[32m151168547.1667\u001b[0m  \u001b[35m126005964.4167\u001b[0m  0.0315\n",
      "     26  \u001b[36m10959.0383\u001b[0m  \u001b[32m144162147.4167\u001b[0m  \u001b[35m120100527.3333\u001b[0m  0.0357\n",
      "     27  \u001b[36m10725.1693\u001b[0m  \u001b[32m138052109.4167\u001b[0m  \u001b[35m115029263.3333\u001b[0m  0.0297\n",
      "     28  \u001b[36m10519.1984\u001b[0m  \u001b[32m132695762.6667\u001b[0m  \u001b[35m110653527.2500\u001b[0m  0.0296\n",
      "     29  \u001b[36m10336.8750\u001b[0m  \u001b[32m127969062.7500\u001b[0m  \u001b[35m106850988.0833\u001b[0m  0.0354\n",
      "     30  \u001b[36m10174.2691\u001b[0m  \u001b[32m123764002.8333\u001b[0m  \u001b[35m103515761.5833\u001b[0m  0.0318\n",
      "     31  \u001b[36m10027.7710\u001b[0m  \u001b[32m119987949.6667\u001b[0m  \u001b[35m100556191.7500\u001b[0m  0.0292\n",
      "     32  \u001b[36m9894.1692\u001b[0m  \u001b[32m116559977.5000\u001b[0m  \u001b[35m97894583.5833\u001b[0m  0.0344\n",
      "     33  \u001b[36m9771.1563\u001b[0m  \u001b[32m113427487.8333\u001b[0m  \u001b[35m95475499.4167\u001b[0m  0.0288\n",
      "     34  \u001b[36m9656.2552\u001b[0m  \u001b[32m110541584.7500\u001b[0m  \u001b[35m93243261.0833\u001b[0m  0.0281\n",
      "     35  \u001b[36m9551.0121\u001b[0m  \u001b[32m107868889.9167\u001b[0m  \u001b[35m91221832.0833\u001b[0m  0.0336\n",
      "     36  \u001b[36m9454.5553\u001b[0m  \u001b[32m105389465.0833\u001b[0m  \u001b[35m89388611.3333\u001b[0m  0.0300\n",
      "     37  \u001b[36m9365.8670\u001b[0m  \u001b[32m103073097.7083\u001b[0m  \u001b[35m87719465.6667\u001b[0m  0.0298\n",
      "     38  \u001b[36m9283.9703\u001b[0m  \u001b[32m100932975.3750\u001b[0m  \u001b[35m86192107.7500\u001b[0m  0.0341\n",
      "     39  \u001b[36m9207.8454\u001b[0m  \u001b[32m98953747.0000\u001b[0m  \u001b[35m84784420.3750\u001b[0m  0.0286\n",
      "     40  \u001b[36m9136.6344\u001b[0m  \u001b[32m97111503.2083\u001b[0m  \u001b[35m83478086.0417\u001b[0m  0.0290\n",
      "     41  \u001b[36m9069.5857\u001b[0m  \u001b[32m95386307.1250\u001b[0m  \u001b[35m82257383.9583\u001b[0m  0.0330\n",
      "     42  \u001b[36m9005.9487\u001b[0m  \u001b[32m93761069.7917\u001b[0m  \u001b[35m81107109.7500\u001b[0m  0.0273\n",
      "     43  \u001b[36m8944.9467\u001b[0m  \u001b[32m92218918.2917\u001b[0m  \u001b[35m80012075.5833\u001b[0m  0.0297\n",
      "     44  \u001b[36m8885.5123\u001b[0m  \u001b[32m90740013.7917\u001b[0m  \u001b[35m78952323.0833\u001b[0m  0.0385\n",
      "     45  \u001b[36m8825.6748\u001b[0m  \u001b[32m89292902.0833\u001b[0m  \u001b[35m77892534.6667\u001b[0m  0.0277\n",
      "     46  \u001b[36m8760.6735\u001b[0m  \u001b[32m87813866.0417\u001b[0m  \u001b[35m76749393.0625\u001b[0m  0.0302\n",
      "     47  \u001b[36m8685.1957\u001b[0m  \u001b[32m86185800.9583\u001b[0m  \u001b[35m75432623.7083\u001b[0m  0.0354\n",
      "     48  \u001b[36m8611.2926\u001b[0m  \u001b[32m84510958.0417\u001b[0m  \u001b[35m74154355.9583\u001b[0m  0.0311\n",
      "     49  \u001b[36m8541.6397\u001b[0m  \u001b[32m82938013.3333\u001b[0m  \u001b[35m72959608.0833\u001b[0m  0.0291\n",
      "     50  \u001b[36m8475.2586\u001b[0m  \u001b[32m81449805.7083\u001b[0m  \u001b[35m71830002.1250\u001b[0m  0.0341\n",
      "     51  \u001b[36m8411.5882\u001b[0m  \u001b[32m80031433.6875\u001b[0m  \u001b[35m70754816.1250\u001b[0m  0.0290\n",
      "     52  \u001b[36m8350.3432\u001b[0m  \u001b[32m78674220.3542\u001b[0m  \u001b[35m69728232.7083\u001b[0m  0.0288\n",
      "     53  \u001b[36m8291.3362\u001b[0m  \u001b[32m77372469.0625\u001b[0m  \u001b[35m68746255.9583\u001b[0m  0.0413\n",
      "     54  \u001b[36m8234.4098\u001b[0m  \u001b[32m76120374.8750\u001b[0m  \u001b[35m67805509.0625\u001b[0m  0.0303\n",
      "     55  \u001b[36m8179.4836\u001b[0m  \u001b[32m74911896.7708\u001b[0m  \u001b[35m66903948.2708\u001b[0m  0.0295\n",
      "     56  \u001b[36m8125.9675\u001b[0m  \u001b[32m73743098.8958\u001b[0m  \u001b[35m66031345.6042\u001b[0m  0.0294\n",
      "     57  \u001b[36m8073.4996\u001b[0m  \u001b[32m72613010.0833\u001b[0m  \u001b[35m65181394.9375\u001b[0m  0.0289\n",
      "     58  \u001b[36m8022.0716\u001b[0m  \u001b[32m71521464.3333\u001b[0m  \u001b[35m64353632.7500\u001b[0m  0.0284\n",
      "     59  \u001b[36m7971.6892\u001b[0m  \u001b[32m70468601.1458\u001b[0m  \u001b[35m63547824.4167\u001b[0m  0.0347\n",
      "     60  \u001b[36m7922.3651\u001b[0m  \u001b[32m69454515.7083\u001b[0m  \u001b[35m62763870.3333\u001b[0m  0.0295\n",
      "     61  \u001b[36m7874.0310\u001b[0m  \u001b[32m68478053.6875\u001b[0m  \u001b[35m62000362.8333\u001b[0m  0.0291\n",
      "     62  \u001b[36m7826.5709\u001b[0m  \u001b[32m67534875.0208\u001b[0m  \u001b[35m61255209.5000\u001b[0m  0.0354\n",
      "     63  \u001b[36m7779.9229\u001b[0m  \u001b[32m66623201.0417\u001b[0m  \u001b[35m60527201.7917\u001b[0m  0.0344\n",
      "     64  \u001b[36m7734.0290\u001b[0m  \u001b[32m65740992.1458\u001b[0m  \u001b[35m59815205.9583\u001b[0m  0.0420\n",
      "     65  \u001b[36m7688.8420\u001b[0m  \u001b[32m64886351.9583\u001b[0m  \u001b[35m59118296.9167\u001b[0m  0.0291\n",
      "     66  \u001b[36m7644.2420\u001b[0m  \u001b[32m64056823.6250\u001b[0m  \u001b[35m58434438.1250\u001b[0m  0.0282\n",
      "     67  \u001b[36m7600.1208\u001b[0m  \u001b[32m63249003.0417\u001b[0m  \u001b[35m57761835.7917\u001b[0m  0.0274\n",
      "     68  \u001b[36m7556.4386\u001b[0m  \u001b[32m62460923.9167\u001b[0m  \u001b[35m57099763.0833\u001b[0m  0.0279\n",
      "     69  \u001b[36m7513.1799\u001b[0m  \u001b[32m61691550.3125\u001b[0m  \u001b[35m56447866.9583\u001b[0m  0.0279\n",
      "     70  \u001b[36m7470.3325\u001b[0m  \u001b[32m60940113.3958\u001b[0m  \u001b[35m55805867.1667\u001b[0m  0.0277\n",
      "     71  \u001b[36m7427.8985\u001b[0m  \u001b[32m60206053.6875\u001b[0m  \u001b[35m55173672.0833\u001b[0m  0.0328\n",
      "     72  \u001b[36m7385.8814\u001b[0m  \u001b[32m59489162.6042\u001b[0m  \u001b[35m54551248.3333\u001b[0m  0.0270\n",
      "     73  \u001b[36m7344.2753\u001b[0m  \u001b[32m58788569.8958\u001b[0m  \u001b[35m53938376.4583\u001b[0m  0.0276\n",
      "     74  \u001b[36m7303.0689\u001b[0m  \u001b[32m58103559.4167\u001b[0m  \u001b[35m53334819.4167\u001b[0m  0.0340\n",
      "     75  \u001b[36m7262.2567\u001b[0m  \u001b[32m57433371.0417\u001b[0m  \u001b[35m52740369.5000\u001b[0m  0.0296\n",
      "     76  \u001b[36m7221.8266\u001b[0m  \u001b[32m56777078.8750\u001b[0m  \u001b[35m52154783.2500\u001b[0m  0.0288\n",
      "     77  \u001b[36m7181.8051\u001b[0m  \u001b[32m56134246.8542\u001b[0m  \u001b[35m51578325.9167\u001b[0m  0.0337\n",
      "     78  \u001b[36m7142.2156\u001b[0m  \u001b[32m55504513.2083\u001b[0m  \u001b[35m51011236.0833\u001b[0m  0.0285\n",
      "     79  \u001b[36m7103.0633\u001b[0m  \u001b[32m54887459.3958\u001b[0m  \u001b[35m50453513.2500\u001b[0m  0.0291\n",
      "     80  \u001b[36m7064.3601\u001b[0m  \u001b[32m54282482.7188\u001b[0m  \u001b[35m49905185.5000\u001b[0m  0.0335\n",
      "     81  \u001b[36m7026.1304\u001b[0m  \u001b[32m53689503.9688\u001b[0m  \u001b[35m49366508.1667\u001b[0m  0.0270\n",
      "     82  \u001b[36m6988.3938\u001b[0m  \u001b[32m53108519.6354\u001b[0m  \u001b[35m48837648.0833\u001b[0m  0.0269\n",
      "     83  \u001b[36m6951.1613\u001b[0m  \u001b[32m52539273.8958\u001b[0m  \u001b[35m48318650.4167\u001b[0m  0.0332\n",
      "     84  \u001b[36m6914.4431\u001b[0m  \u001b[32m51981590.5521\u001b[0m  \u001b[35m47809523.6667\u001b[0m  0.0275\n",
      "     85  \u001b[36m6878.2495\u001b[0m  \u001b[32m51435281.9688\u001b[0m  \u001b[35m47310311.0000\u001b[0m  0.0275\n",
      "     86  \u001b[36m6842.6062\u001b[0m  \u001b[32m50900432.1875\u001b[0m  \u001b[35m46821256.9167\u001b[0m  0.0335\n",
      "     87  \u001b[36m6807.5261\u001b[0m  \u001b[32m50376995.4792\u001b[0m  \u001b[35m46342411.0833\u001b[0m  0.0273\n",
      "     88  \u001b[36m6773.0138\u001b[0m  \u001b[32m49864766.1354\u001b[0m  \u001b[35m45873716.2500\u001b[0m  0.0278\n",
      "     89  \u001b[36m6739.0801\u001b[0m  \u001b[32m49363574.8125\u001b[0m  \u001b[35m45415200.7500\u001b[0m  0.0287\n",
      "     90  \u001b[36m6705.7334\u001b[0m  \u001b[32m48873276.1875\u001b[0m  \u001b[35m44966859.0000\u001b[0m  0.0296\n",
      "     91  \u001b[36m6672.9709\u001b[0m  \u001b[32m48393586.0208\u001b[0m  \u001b[35m44528540.9167\u001b[0m  0.0293\n",
      "     92  \u001b[36m6640.8027\u001b[0m  \u001b[32m47924312.5729\u001b[0m  \u001b[35m44100260.0000\u001b[0m  0.0295\n",
      "     93  \u001b[36m6609.2435\u001b[0m  \u001b[32m47465524.0417\u001b[0m  \u001b[35m43682102.0000\u001b[0m  0.0292\n",
      "     94  \u001b[36m6578.3065\u001b[0m  \u001b[32m47017222.7292\u001b[0m  \u001b[35m43274119.6667\u001b[0m  0.0288\n",
      "     95  \u001b[36m6548.0024\u001b[0m  \u001b[32m46579405.1146\u001b[0m  \u001b[35m42876335.9167\u001b[0m  0.0287\n",
      "     96  \u001b[36m6518.3372\u001b[0m  \u001b[32m46152060.6042\u001b[0m  \u001b[35m42488717.0833\u001b[0m  0.0291\n",
      "     97  \u001b[36m6489.3343\u001b[0m  \u001b[32m45735211.5312\u001b[0m  \u001b[35m42111460.7500\u001b[0m  0.0284\n",
      "     98  \u001b[36m6461.0002\u001b[0m  \u001b[32m45329058.8750\u001b[0m  \u001b[35m41744524.5000\u001b[0m  0.0279\n",
      "     99  \u001b[36m6433.3354\u001b[0m  \u001b[32m44933550.2812\u001b[0m  \u001b[35m41387805.6667\u001b[0m  0.0458\n",
      "    100  \u001b[36m6406.3440\u001b[0m  \u001b[32m44548548.3229\u001b[0m  \u001b[35m41041243.0000\u001b[0m  0.0286\n",
      "    101  \u001b[36m6380.0223\u001b[0m  \u001b[32m44173864.5938\u001b[0m  \u001b[35m40704687.2500\u001b[0m  0.0332\n",
      "    102  \u001b[36m6354.3676\u001b[0m  \u001b[32m43809420.7396\u001b[0m  \u001b[35m40377988.8333\u001b[0m  0.0292\n",
      "    103  \u001b[36m6329.3668\u001b[0m  \u001b[32m43455058.5000\u001b[0m  \u001b[35m40060883.0000\u001b[0m  0.0273\n",
      "    104  \u001b[36m6305.0088\u001b[0m  \u001b[32m43110604.6667\u001b[0m  \u001b[35m39753136.0000\u001b[0m  0.0338\n",
      "    105  \u001b[36m6281.2976\u001b[0m  \u001b[32m42775814.6875\u001b[0m  \u001b[35m39454701.0000\u001b[0m  0.0275\n",
      "    106  \u001b[36m6258.2365\u001b[0m  \u001b[32m42450521.4375\u001b[0m  \u001b[35m39165528.6250\u001b[0m  0.0281\n",
      "    107  \u001b[36m6235.8226\u001b[0m  \u001b[32m42134619.1875\u001b[0m  \u001b[35m38885486.7917\u001b[0m  0.0283\n",
      "    108  \u001b[36m6214.0547\u001b[0m  \u001b[32m41827959.5521\u001b[0m  \u001b[35m38614477.7083\u001b[0m  0.0290\n",
      "    109  \u001b[36m6192.9247\u001b[0m  \u001b[32m41530365.0833\u001b[0m  \u001b[35m38352313.1667\u001b[0m  0.0276\n",
      "    110  \u001b[36m6172.4199\u001b[0m  \u001b[32m41241608.1771\u001b[0m  \u001b[35m38098770.2500\u001b[0m  0.0289\n",
      "    111  \u001b[36m6152.5302\u001b[0m  \u001b[32m40961527.6771\u001b[0m  \u001b[35m37853629.1667\u001b[0m  0.0393\n",
      "    112  \u001b[36m6133.2435\u001b[0m  \u001b[32m40689949.9479\u001b[0m  \u001b[35m37616677.6250\u001b[0m  0.0294\n",
      "    113  \u001b[36m6114.5463\u001b[0m  \u001b[32m40426586.9062\u001b[0m  \u001b[35m37387673.7917\u001b[0m  0.0303\n",
      "    114  \u001b[36m6096.4294\u001b[0m  \u001b[32m40171256.7292\u001b[0m  \u001b[35m37166455.7917\u001b[0m  0.0377\n",
      "    115  \u001b[36m6078.8811\u001b[0m  \u001b[32m39923731.6979\u001b[0m  \u001b[35m36952795.8333\u001b[0m  0.0286\n",
      "    116  \u001b[36m6061.8852\u001b[0m  \u001b[32m39683687.0208\u001b[0m  \u001b[35m36746451.6667\u001b[0m  0.0303\n",
      "    117  \u001b[36m6045.4307\u001b[0m  \u001b[32m39450898.9271\u001b[0m  \u001b[35m36547231.8750\u001b[0m  0.0352\n",
      "    118  \u001b[36m6029.5111\u001b[0m  \u001b[32m39225210.3542\u001b[0m  \u001b[35m36355005.2500\u001b[0m  0.0320\n",
      "    119  \u001b[36m6014.1134\u001b[0m  \u001b[32m39006496.7188\u001b[0m  \u001b[35m36169558.6667\u001b[0m  0.0368\n",
      "    120  \u001b[36m5999.2270\u001b[0m  \u001b[32m38794585.7396\u001b[0m  \u001b[35m35990726.5833\u001b[0m  0.0300\n",
      "    121  \u001b[36m5984.8305\u001b[0m  \u001b[32m38589139.9062\u001b[0m  \u001b[35m35818197.8750\u001b[0m  0.0338\n",
      "    122  \u001b[36m5970.9098\u001b[0m  \u001b[32m38389919.8021\u001b[0m  \u001b[35m35651764.7083\u001b[0m  0.0367\n",
      "    123  \u001b[36m5957.4508\u001b[0m  \u001b[32m38196736.2708\u001b[0m  \u001b[35m35491222.2917\u001b[0m  0.0322\n",
      "    124  \u001b[36m5944.4431\u001b[0m  \u001b[32m38009420.5573\u001b[0m  \u001b[35m35336403.5417\u001b[0m  0.0297\n",
      "    125  \u001b[36m5931.8732\u001b[0m  \u001b[32m37827803.1875\u001b[0m  \u001b[35m35187116.5417\u001b[0m  0.0364\n",
      "    126  \u001b[36m5919.7270\u001b[0m  \u001b[32m37651689.2292\u001b[0m  \u001b[35m35043165.1250\u001b[0m  0.0287\n",
      "    127  \u001b[36m5908.0010\u001b[0m  \u001b[32m37481121.6875\u001b[0m  \u001b[35m34904474.4583\u001b[0m  0.0282\n",
      "    128  \u001b[36m5896.6825\u001b[0m  \u001b[32m37316035.9375\u001b[0m  \u001b[35m34770864.0417\u001b[0m  0.0340\n",
      "    129  \u001b[36m5885.7564\u001b[0m  \u001b[32m37156178.9271\u001b[0m  \u001b[35m34642132.8750\u001b[0m  0.0280\n",
      "    130  \u001b[36m5875.2103\u001b[0m  \u001b[32m37001465.5208\u001b[0m  \u001b[35m34518095.7500\u001b[0m  0.0295\n",
      "    131  \u001b[36m5865.0357\u001b[0m  \u001b[32m36851814.2292\u001b[0m  \u001b[35m34398642.8333\u001b[0m  0.0331\n",
      "    132  \u001b[36m5855.2168\u001b[0m  \u001b[32m36707160.9271\u001b[0m  \u001b[35m34283565.7500\u001b[0m  0.0286\n",
      "    133  \u001b[36m5845.7396\u001b[0m  \u001b[32m36567260.0938\u001b[0m  \u001b[35m34172672.2917\u001b[0m  0.0282\n",
      "    134  \u001b[36m5836.6137\u001b[0m  \u001b[32m36431993.8229\u001b[0m  \u001b[35m34066064.6667\u001b[0m  0.0336\n",
      "    135  \u001b[36m5827.9269\u001b[0m  \u001b[32m36301349.1719\u001b[0m  \u001b[35m33964731.6667\u001b[0m  0.0285\n",
      "    136  \u001b[36m5819.6567\u001b[0m  \u001b[32m36175101.3438\u001b[0m  \u001b[35m33868401.2500\u001b[0m  0.0289\n",
      "    137  \u001b[36m5811.8090\u001b[0m  \u001b[32m36053350.6042\u001b[0m  \u001b[35m33777124.4583\u001b[0m  0.0386\n",
      "    138  \u001b[36m5804.3573\u001b[0m  \u001b[32m35936193.1719\u001b[0m  \u001b[35m33690566.7500\u001b[0m  0.0291\n",
      "    139  \u001b[36m5797.2631\u001b[0m  \u001b[32m35823259.5365\u001b[0m  \u001b[35m33608260.4167\u001b[0m  0.0286\n",
      "    140  \u001b[36m5790.5248\u001b[0m  \u001b[32m35714343.2344\u001b[0m  \u001b[35m33530175.7917\u001b[0m  0.0347\n",
      "    141  \u001b[36m5784.1167\u001b[0m  \u001b[32m35609356.4661\u001b[0m  \u001b[35m33456005.2500\u001b[0m  0.0288\n",
      "    142  \u001b[36m5778.0031\u001b[0m  \u001b[32m35508235.9375\u001b[0m  \u001b[35m33385320.3333\u001b[0m  0.0298\n",
      "    143  \u001b[36m5772.1538\u001b[0m  \u001b[32m35410709.8203\u001b[0m  \u001b[35m33317759.3333\u001b[0m  0.0341\n",
      "    144  \u001b[36m5766.5574\u001b[0m  \u001b[32m35316886.3958\u001b[0m  \u001b[35m33253185.7500\u001b[0m  0.0294\n",
      "    145  \u001b[36m5761.1848\u001b[0m  \u001b[32m35226676.9167\u001b[0m  \u001b[35m33191251.4167\u001b[0m  0.0303\n",
      "    146  \u001b[36m5756.0057\u001b[0m  \u001b[32m35139705.7135\u001b[0m  \u001b[35m33131602.0000\u001b[0m  0.0354\n",
      "    147  \u001b[36m5750.9999\u001b[0m  \u001b[32m35055665.1042\u001b[0m  \u001b[35m33073998.6667\u001b[0m  0.0284\n",
      "    148  \u001b[36m5746.1718\u001b[0m  \u001b[32m34974287.4167\u001b[0m  \u001b[35m33018492.3750\u001b[0m  0.0310\n",
      "    149  \u001b[36m5741.5059\u001b[0m  \u001b[32m34895328.9714\u001b[0m  \u001b[35m32964889.8750\u001b[0m  0.0432\n",
      "    150  \u001b[36m5736.9910\u001b[0m  \u001b[32m34818649.0312\u001b[0m  \u001b[35m32913067.5833\u001b[0m  0.0372\n",
      "    151  \u001b[36m5732.6125\u001b[0m  \u001b[32m34744191.4167\u001b[0m  \u001b[35m32862846.2083\u001b[0m  0.0379\n",
      "    152  \u001b[36m5728.3745\u001b[0m  \u001b[32m34671777.0104\u001b[0m  \u001b[35m32814276.3750\u001b[0m  0.0433\n",
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      "    228  \u001b[36m5551.1936\u001b[0m  \u001b[32m31515969.2982\u001b[0m  \u001b[35m30815748.3333\u001b[0m  0.0333\n",
      "    229  \u001b[36m5550.0939\u001b[0m  \u001b[32m31492466.6654\u001b[0m  \u001b[35m30803540.5833\u001b[0m  0.0308\n",
      "    230  \u001b[36m5549.0260\u001b[0m  \u001b[32m31469331.8099\u001b[0m  \u001b[35m30791692.4167\u001b[0m  0.0370\n",
      "    231  \u001b[36m5547.9930\u001b[0m  \u001b[32m31446559.5365\u001b[0m  \u001b[35m30780228.0417\u001b[0m  0.0303\n",
      "    232  \u001b[36m5546.9920\u001b[0m  \u001b[32m31424174.8971\u001b[0m  \u001b[35m30769117.4583\u001b[0m  0.0301\n",
      "    233  \u001b[36m5546.0197\u001b[0m  \u001b[32m31402195.9141\u001b[0m  \u001b[35m30758332.2083\u001b[0m  0.0361\n",
      "    234  \u001b[36m5545.0755\u001b[0m  \u001b[32m31380603.3594\u001b[0m  \u001b[35m30747859.2083\u001b[0m  0.0300\n",
      "    235  \u001b[36m5544.1553\u001b[0m  \u001b[32m31359363.7409\u001b[0m  \u001b[35m30737657.5000\u001b[0m  0.0308\n",
      "    236  \u001b[36m5543.2577\u001b[0m  \u001b[32m31338490.1276\u001b[0m  \u001b[35m30727708.4167\u001b[0m  0.0403\n",
      "    237  \u001b[36m5542.3795\u001b[0m  \u001b[32m31317982.2422\u001b[0m  \u001b[35m30717972.0417\u001b[0m  0.0306\n",
      "    238  \u001b[36m5541.5198\u001b[0m  \u001b[32m31297806.9714\u001b[0m  \u001b[35m30708441.8333\u001b[0m  0.0300\n",
      "    239  \u001b[36m5540.6778\u001b[0m  \u001b[32m31277939.3542\u001b[0m  \u001b[35m30699109.0833\u001b[0m  0.0316\n",
      "    240  \u001b[36m5539.8513\u001b[0m  \u001b[32m31258373.3555\u001b[0m  \u001b[35m30689951.4583\u001b[0m  0.0309\n",
      "    241  \u001b[36m5539.0405\u001b[0m  \u001b[32m31239080.5417\u001b[0m  \u001b[35m30680969.8750\u001b[0m  0.0292\n",
      "    242  \u001b[36m5538.2438\u001b[0m  \u001b[32m31220054.2643\u001b[0m  \u001b[35m30672146.1667\u001b[0m  0.0305\n",
      "    243  \u001b[36m5537.4615\u001b[0m  \u001b[32m31201284.1250\u001b[0m  \u001b[35m30663480.4167\u001b[0m  0.0295\n",
      "    244  \u001b[36m5536.6927\u001b[0m  \u001b[32m31182755.1849\u001b[0m  \u001b[35m30654965.6667\u001b[0m  0.0373\n",
      "    245  \u001b[36m5535.9379\u001b[0m  \u001b[32m31164453.3359\u001b[0m  \u001b[35m30646609.3333\u001b[0m  0.0321\n",
      "    246  \u001b[36m5535.1963\u001b[0m  \u001b[32m31146374.6719\u001b[0m  \u001b[35m30638395.7917\u001b[0m  0.0321\n",
      "    247  \u001b[36m5534.4675\u001b[0m  \u001b[32m31128511.6224\u001b[0m  \u001b[35m30630330.2083\u001b[0m  0.0382\n",
      "    248  \u001b[36m5533.7512\u001b[0m  \u001b[32m31110855.8854\u001b[0m  \u001b[35m30622402.6667\u001b[0m  0.0303\n",
      "    249  \u001b[36m5533.0464\u001b[0m  \u001b[32m31093394.1888\u001b[0m  \u001b[35m30614600.1667\u001b[0m  0.0303\n",
      "    250  \u001b[36m5532.3552\u001b[0m  \u001b[32m31076121.9544\u001b[0m  \u001b[35m30606952.8750\u001b[0m  0.0343\n",
      "    251  \u001b[36m5531.6753\u001b[0m  \u001b[32m31059046.2617\u001b[0m  \u001b[35m30599433.5833\u001b[0m  0.0296\n",
      "    252  \u001b[36m5531.0070\u001b[0m  \u001b[32m31042146.5117\u001b[0m  \u001b[35m30592035.5417\u001b[0m  0.0293\n",
      "    253  \u001b[36m5530.3519\u001b[0m  \u001b[32m31025426.2318\u001b[0m  \u001b[35m30584790.6250\u001b[0m  0.0346\n",
      "    254  \u001b[36m5529.7061\u001b[0m  \u001b[32m31008878.8594\u001b[0m  \u001b[35m30577650.2083\u001b[0m  0.0290\n",
      "    255  \u001b[36m5529.0728\u001b[0m  \u001b[32m30992484.5911\u001b[0m  \u001b[35m30570643.3333\u001b[0m  0.0304\n",
      "    256  \u001b[36m5528.4510\u001b[0m  \u001b[32m30976258.7396\u001b[0m  \u001b[35m30563769.4167\u001b[0m  0.0349\n",
      "    257  \u001b[36m5527.8392\u001b[0m  \u001b[32m30960189.8034\u001b[0m  \u001b[35m30557005.2917\u001b[0m  0.0298\n",
      "    258  \u001b[36m5527.2393\u001b[0m  \u001b[32m30944281.5521\u001b[0m  \u001b[35m30550373.9167\u001b[0m  0.0294\n",
      "    259  \u001b[36m5526.6509\u001b[0m  \u001b[32m30928522.3672\u001b[0m  \u001b[35m30543869.7500\u001b[0m  0.0353\n",
      "    260  \u001b[36m5526.0722\u001b[0m  \u001b[32m30912913.7253\u001b[0m  \u001b[35m30537472.2500\u001b[0m  0.0339\n",
      "    261  \u001b[36m5525.5045\u001b[0m  \u001b[32m30897449.0651\u001b[0m  \u001b[35m30531201.7083\u001b[0m  0.0294\n",
      "    262  \u001b[36m5524.9476\u001b[0m  \u001b[32m30882118.7214\u001b[0m  \u001b[35m30525046.5417\u001b[0m  0.0389\n",
      "    263  \u001b[36m5524.4006\u001b[0m  \u001b[32m30866935.0521\u001b[0m  \u001b[35m30519004.2500\u001b[0m  0.0323\n",
      "    264  \u001b[36m5523.8639\u001b[0m  \u001b[32m30851886.1797\u001b[0m  \u001b[35m30513073.8333\u001b[0m  0.0305\n",
      "    265  \u001b[36m5523.3376\u001b[0m  \u001b[32m30836976.6628\u001b[0m  \u001b[35m30507257.6667\u001b[0m  0.0347\n",
      "    266  \u001b[36m5522.8212\u001b[0m  \u001b[32m30822195.1797\u001b[0m  \u001b[35m30501555.8333\u001b[0m  0.0315\n",
      "    267  \u001b[36m5522.3155\u001b[0m  \u001b[32m30807543.9831\u001b[0m  \u001b[35m30495967.9167\u001b[0m  0.0314\n",
      "    268  \u001b[36m5521.8193\u001b[0m  \u001b[32m30793022.1680\u001b[0m  \u001b[35m30490487.6250\u001b[0m  0.0354\n",
      "    269  \u001b[36m5521.3323\u001b[0m  \u001b[32m30778627.7878\u001b[0m  \u001b[35m30485108.0833\u001b[0m  0.0303\n",
      "    270  \u001b[36m5520.8541\u001b[0m  \u001b[32m30764343.1927\u001b[0m  \u001b[35m30479830.4167\u001b[0m  0.0290\n",
      "    271  \u001b[36m5520.3869\u001b[0m  \u001b[32m30750194.6745\u001b[0m  \u001b[35m30474674.5833\u001b[0m  0.0380\n",
      "    272  \u001b[36m5519.9288\u001b[0m  \u001b[32m30736165.0469\u001b[0m  \u001b[35m30469613.1667\u001b[0m  0.0306\n",
      "    273  \u001b[36m5519.4791\u001b[0m  \u001b[32m30722243.0521\u001b[0m  \u001b[35m30464652.7083\u001b[0m  0.0295\n",
      "    274  \u001b[36m5519.0390\u001b[0m  \u001b[32m30708434.9583\u001b[0m  \u001b[35m30459792.0000\u001b[0m  0.0353\n",
      "    275  \u001b[36m5518.6091\u001b[0m  \u001b[32m30694748.4766\u001b[0m  \u001b[35m30455043.5417\u001b[0m  0.0301\n",
      "    276  \u001b[36m5518.1861\u001b[0m  \u001b[32m30681156.3906\u001b[0m  \u001b[35m30450378.0833\u001b[0m  0.0285\n",
      "    277  \u001b[36m5517.7718\u001b[0m  \u001b[32m30667669.3932\u001b[0m  \u001b[35m30445806.5000\u001b[0m  0.0347\n",
      "    278  \u001b[36m5517.3660\u001b[0m  \u001b[32m30654283.2904\u001b[0m  \u001b[35m30441330.0000\u001b[0m  0.0296\n",
      "    279  \u001b[36m5516.9664\u001b[0m  \u001b[32m30640967.4622\u001b[0m  \u001b[35m30436914.6667\u001b[0m  0.0297\n",
      "    280  \u001b[36m5516.5707\u001b[0m  \u001b[32m30627701.1810\u001b[0m  \u001b[35m30432550.7917\u001b[0m  0.0363\n",
      "    281  \u001b[36m5516.1735\u001b[0m  \u001b[32m30614422.1797\u001b[0m  \u001b[35m30428173.0833\u001b[0m  0.0296\n",
      "    282  \u001b[36m5515.7594\u001b[0m  \u001b[32m30600936.1823\u001b[0m  \u001b[35m30423605.0833\u001b[0m  0.0297\n",
      "    283  \u001b[36m5515.2826\u001b[0m  \u001b[32m30586768.2005\u001b[0m  \u001b[35m30418342.5833\u001b[0m  0.0339\n",
      "    284  \u001b[36m5514.6003\u001b[0m  \u001b[32m30570330.8047\u001b[0m  \u001b[35m30410815.9167\u001b[0m  0.0296\n",
      "    285  \u001b[36m5513.4126\u001b[0m  \u001b[32m30547411.9948\u001b[0m  \u001b[35m30397717.6667\u001b[0m  0.0312\n",
      "    286  \u001b[36m5511.7843\u001b[0m  \u001b[32m30512067.9219\u001b[0m  \u001b[35m30379767.7500\u001b[0m  0.0289\n",
      "    287  \u001b[36m5511.3430\u001b[0m  \u001b[32m30475716.2839\u001b[0m  \u001b[35m30374900.7500\u001b[0m  0.0296\n",
      "    288  5511.4635  \u001b[32m30454946.5104\u001b[0m  30376228.5833  0.0288\n",
      "    289  5511.5965  \u001b[32m30436141.4219\u001b[0m  30377697.6667  0.0298\n",
      "    290  5511.6711  \u001b[32m30417688.5039\u001b[0m  30378517.7500  0.0301\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   9.9s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14941.8644\u001b[0m  \u001b[32m199109449.4583\u001b[0m  \u001b[35m223259328.6667\u001b[0m  0.0307\n",
      "      2  \u001b[36m14941.5159\u001b[0m  \u001b[32m199101762.4583\u001b[0m  \u001b[35m223248896.6667\u001b[0m  0.0285\n",
      "      3  \u001b[36m14940.8599\u001b[0m  \u001b[32m199088759.4167\u001b[0m  \u001b[35m223229292.3333\u001b[0m  0.0385\n",
      "      4  \u001b[36m14939.5539\u001b[0m  \u001b[32m199063144.8750\u001b[0m  \u001b[35m223190264.0000\u001b[0m  0.0291\n",
      "      5  \u001b[36m14937.0492\u001b[0m  \u001b[32m199012756.8750\u001b[0m  \u001b[35m223115441.6667\u001b[0m  0.0288\n",
      "      6  \u001b[36m14932.3622\u001b[0m  \u001b[32m198917178.5417\u001b[0m  \u001b[35m222975436.0000\u001b[0m  0.0381\n",
      "      7  \u001b[36m14923.7615\u001b[0m  \u001b[32m198739429.0417\u001b[0m  \u001b[35m222718654.0000\u001b[0m  0.0298\n",
      "      8  \u001b[36m14908.6235\u001b[0m  \u001b[32m198419519.7500\u001b[0m  \u001b[35m222267044.0000\u001b[0m  0.0307\n",
      "      9  \u001b[36m14883.2835\u001b[0m  \u001b[32m197871223.4167\u001b[0m  \u001b[35m221512122.0000\u001b[0m  0.0339\n",
      "     10  \u001b[36m14842.9620\u001b[0m  \u001b[32m196978756.6667\u001b[0m  \u001b[35m220313520.0000\u001b[0m  0.0288\n",
      "     11  \u001b[36m14781.9192\u001b[0m  \u001b[32m195599452.3750\u001b[0m  \u001b[35m218505135.3333\u001b[0m  0.0279\n",
      "     12  \u001b[36m14693.6313\u001b[0m  \u001b[32m193571507.4167\u001b[0m  \u001b[35m215902797.3333\u001b[0m  0.0331\n",
      "     13  \u001b[36m14571.2682\u001b[0m  \u001b[32m190727241.6250\u001b[0m  \u001b[35m212321876.3333\u001b[0m  0.0286\n",
      "     14  \u001b[36m14408.5502\u001b[0m  \u001b[32m186916622.7500\u001b[0m  \u001b[35m207606322.3333\u001b[0m  0.0293\n",
      "     15  \u001b[36m14201.0743\u001b[0m  \u001b[32m182043676.5729\u001b[0m  \u001b[35m201670523.0000\u001b[0m  0.0332\n",
      "     16  \u001b[36m13948.0683\u001b[0m  \u001b[32m176112291.0833\u001b[0m  \u001b[35m194548593.1667\u001b[0m  0.0281\n",
      "     17  \u001b[36m13654.3034\u001b[0m  \u001b[32m169272529.6302\u001b[0m  \u001b[35m186439993.8333\u001b[0m  0.0287\n",
      "     18  \u001b[36m13331.4827\u001b[0m  \u001b[32m161848035.6797\u001b[0m  \u001b[35m177728427.5000\u001b[0m  0.0343\n",
      "     19  \u001b[36m12997.8244\u001b[0m  \u001b[32m154315549.3945\u001b[0m  \u001b[35m168943436.0000\u001b[0m  0.0295\n",
      "     20  \u001b[36m12674.5155\u001b[0m  \u001b[32m147209650.8099\u001b[0m  \u001b[35m160643340.5833\u001b[0m  0.0281\n",
      "     21  \u001b[36m12379.1942\u001b[0m  \u001b[32m140959715.4062\u001b[0m  \u001b[35m153244451.3333\u001b[0m  0.0332\n",
      "     22  \u001b[36m12120.0112\u001b[0m  \u001b[32m135738425.3125\u001b[0m  \u001b[35m146894679.5833\u001b[0m  0.0273\n",
      "     23  \u001b[36m11895.3053\u001b[0m  \u001b[32m131446581.6250\u001b[0m  \u001b[35m141498295.7500\u001b[0m  0.0272\n",
      "     24  \u001b[36m11698.5544\u001b[0m  \u001b[32m127852907.5833\u001b[0m  \u001b[35m136856187.6667\u001b[0m  0.0284\n",
      "     25  \u001b[36m11523.0312\u001b[0m  \u001b[32m124741276.8750\u001b[0m  \u001b[35m132780244.2500\u001b[0m  0.0337\n",
      "     26  \u001b[36m11363.4956\u001b[0m  \u001b[32m121962040.2083\u001b[0m  \u001b[35m129129026.2500\u001b[0m  0.0298\n",
      "     27  \u001b[36m11216.1940\u001b[0m  \u001b[32m119421285.5417\u001b[0m  \u001b[35m125803013.4167\u001b[0m  0.0297\n",
      "     28  \u001b[36m11078.4537\u001b[0m  \u001b[32m117059812.7083\u001b[0m  \u001b[35m122732144.1667\u001b[0m  0.0343\n",
      "     29  \u001b[36m10948.3058\u001b[0m  \u001b[32m114838163.5417\u001b[0m  \u001b[35m119865394.9167\u001b[0m  0.0282\n",
      "     30  \u001b[36m10824.1497\u001b[0m  \u001b[32m112727012.0000\u001b[0m  \u001b[35m117162214.0000\u001b[0m  0.0273\n",
      "     31  \u001b[36m10704.3890\u001b[0m  \u001b[32m110699209.6667\u001b[0m  \u001b[35m114583946.2500\u001b[0m  0.0386\n",
      "     32  \u001b[36m10587.4412\u001b[0m  \u001b[32m108723879.2083\u001b[0m  \u001b[35m112093900.5833\u001b[0m  0.0283\n",
      "     33  \u001b[36m10472.0378\u001b[0m  \u001b[32m106785298.9167\u001b[0m  \u001b[35m109663565.3333\u001b[0m  0.0288\n",
      "     34  \u001b[36m10359.1092\u001b[0m  \u001b[32m104882867.2083\u001b[0m  \u001b[35m107311140.6667\u001b[0m  0.0346\n",
      "     35  \u001b[36m10248.7962\u001b[0m  \u001b[32m103045308.0833\u001b[0m  \u001b[35m105037827.0833\u001b[0m  0.0313\n",
      "     36  \u001b[36m10142.0325\u001b[0m  \u001b[32m101279143.6667\u001b[0m  \u001b[35m102860828.0833\u001b[0m  0.0293\n",
      "     37  \u001b[36m10039.9916\u001b[0m  \u001b[32m99613224.2083\u001b[0m  \u001b[35m100801430.9167\u001b[0m  0.0346\n",
      "     38  \u001b[36m9942.2448\u001b[0m  \u001b[32m98039070.9583\u001b[0m  \u001b[35m98848240.7917\u001b[0m  0.0281\n",
      "     39  \u001b[36m9848.6921\u001b[0m  \u001b[32m96547002.4583\u001b[0m  \u001b[35m96996736.5000\u001b[0m  0.0286\n",
      "     40  \u001b[36m9759.1840\u001b[0m  \u001b[32m95136030.5000\u001b[0m  \u001b[35m95241672.1250\u001b[0m  0.0346\n",
      "     41  \u001b[36m9673.4821\u001b[0m  \u001b[32m93800394.0417\u001b[0m  \u001b[35m93576244.5833\u001b[0m  0.0290\n",
      "     42  \u001b[36m9591.2373\u001b[0m  \u001b[32m92530735.1042\u001b[0m  \u001b[35m91991828.7500\u001b[0m  0.0285\n",
      "     43  \u001b[36m9511.9104\u001b[0m  \u001b[32m91314286.9583\u001b[0m  \u001b[35m90476438.0417\u001b[0m  0.0365\n",
      "     44  \u001b[36m9434.5548\u001b[0m  \u001b[32m90131520.2083\u001b[0m  \u001b[35m89010821.8750\u001b[0m  0.0278\n",
      "     45  \u001b[36m9357.4702\u001b[0m  \u001b[32m88959040.0833\u001b[0m  \u001b[35m87562243.3333\u001b[0m  0.0295\n",
      "     46  \u001b[36m9278.7866\u001b[0m  \u001b[32m87770895.0208\u001b[0m  \u001b[35m86095877.4583\u001b[0m  0.0330\n",
      "     47  \u001b[36m9196.9095\u001b[0m  \u001b[32m86545850.5000\u001b[0m  \u001b[35m84583152.1250\u001b[0m  0.0282\n",
      "     48  \u001b[36m9116.9912\u001b[0m  \u001b[32m85337245.4167\u001b[0m  \u001b[35m83119525.5208\u001b[0m  0.0283\n",
      "     49  \u001b[36m9039.5518\u001b[0m  \u001b[32m84186718.5417\u001b[0m  \u001b[35m81713488.1667\u001b[0m  0.0331\n",
      "     50  \u001b[36m8964.3601\u001b[0m  \u001b[32m83084862.3542\u001b[0m  \u001b[35m80359750.8542\u001b[0m  0.0271\n",
      "     51  \u001b[36m8891.2321\u001b[0m  \u001b[32m82023361.2083\u001b[0m  \u001b[35m79054008.3750\u001b[0m  0.0290\n",
      "     52  \u001b[36m8819.9170\u001b[0m  \u001b[32m80992310.0417\u001b[0m  \u001b[35m77790929.3333\u001b[0m  0.0337\n",
      "     53  \u001b[36m8750.3413\u001b[0m  \u001b[32m79982551.5417\u001b[0m  \u001b[35m76568479.4167\u001b[0m  0.0277\n",
      "     54  \u001b[36m8682.6507\u001b[0m  \u001b[32m78989643.7083\u001b[0m  \u001b[35m75388424.1667\u001b[0m  0.0282\n",
      "     55  \u001b[36m8617.0775\u001b[0m  \u001b[32m78019307.9167\u001b[0m  \u001b[35m74254023.2500\u001b[0m  0.0365\n",
      "     56  \u001b[36m8553.4143\u001b[0m  \u001b[32m77075200.0208\u001b[0m  \u001b[35m73160895.4583\u001b[0m  0.0280\n",
      "     57  \u001b[36m8491.3570\u001b[0m  \u001b[32m76157034.9583\u001b[0m  \u001b[35m72103145.9167\u001b[0m  0.0282\n",
      "     58  \u001b[36m8430.2460\u001b[0m  \u001b[32m75262271.8542\u001b[0m  \u001b[35m71069040.7708\u001b[0m  0.0334\n",
      "     59  \u001b[36m8369.8741\u001b[0m  \u001b[32m74386983.7500\u001b[0m  \u001b[35m70054794.1667\u001b[0m  0.0279\n",
      "     60  \u001b[36m8309.9045\u001b[0m  \u001b[32m73527628.8125\u001b[0m  \u001b[35m69054512.2708\u001b[0m  0.0295\n",
      "     61  \u001b[36m8249.5726\u001b[0m  \u001b[32m72676596.0625\u001b[0m  \u001b[35m68055441.9375\u001b[0m  0.0349\n",
      "     62  \u001b[36m8186.7854\u001b[0m  \u001b[32m71814066.1250\u001b[0m  \u001b[35m67023460.4583\u001b[0m  0.0330\n",
      "     63  \u001b[36m8119.1940\u001b[0m  \u001b[32m70893461.0000\u001b[0m  \u001b[35m65921314.6667\u001b[0m  0.0331\n",
      "     64  \u001b[36m8050.8991\u001b[0m  \u001b[32m69932053.2500\u001b[0m  \u001b[35m64816975.6458\u001b[0m  0.0386\n",
      "     65  \u001b[36m7984.6212\u001b[0m  \u001b[32m68995187.2292\u001b[0m  \u001b[35m63754176.1458\u001b[0m  0.0292\n",
      "     66  \u001b[36m7920.7505\u001b[0m  \u001b[32m68098926.1146\u001b[0m  \u001b[35m62738288.5417\u001b[0m  0.0300\n",
      "     67  \u001b[36m7859.4941\u001b[0m  \u001b[32m67233323.2188\u001b[0m  \u001b[35m61771651.3958\u001b[0m  0.0375\n",
      "     68  \u001b[36m7801.0822\u001b[0m  \u001b[32m66406734.0104\u001b[0m  \u001b[35m60856887.2917\u001b[0m  0.0323\n",
      "     69  \u001b[36m7744.5896\u001b[0m  \u001b[32m65623651.0625\u001b[0m  \u001b[35m59978664.2083\u001b[0m  0.0302\n",
      "     70  \u001b[36m7689.5178\u001b[0m  \u001b[32m64879297.4271\u001b[0m  \u001b[35m59128683.8750\u001b[0m  0.0371\n",
      "     71  \u001b[36m7635.7475\u001b[0m  \u001b[32m64170277.8333\u001b[0m  \u001b[35m58304642.0000\u001b[0m  0.0280\n",
      "     72  \u001b[36m7583.2755\u001b[0m  \u001b[32m63492683.0938\u001b[0m  \u001b[35m57506061.9167\u001b[0m  0.0282\n",
      "     73  \u001b[36m7532.0003\u001b[0m  \u001b[32m62839341.3229\u001b[0m  \u001b[35m56731027.7083\u001b[0m  0.0329\n",
      "     74  \u001b[36m7481.8169\u001b[0m  \u001b[32m62205442.9271\u001b[0m  \u001b[35m55977585.7917\u001b[0m  0.0281\n",
      "     75  \u001b[36m7432.6692\u001b[0m  \u001b[32m61587919.7292\u001b[0m  \u001b[35m55244568.3333\u001b[0m  0.0277\n",
      "     76  \u001b[36m7384.4845\u001b[0m  \u001b[32m60984429.8333\u001b[0m  \u001b[35m54530614.2500\u001b[0m  0.0336\n",
      "     77  \u001b[36m7337.2085\u001b[0m  \u001b[32m60392899.2292\u001b[0m  \u001b[35m53834624.1667\u001b[0m  0.0279\n",
      "     78  \u001b[36m7290.8011\u001b[0m  \u001b[32m59812526.8438\u001b[0m  \u001b[35m53155779.8333\u001b[0m  0.0276\n",
      "     79  \u001b[36m7245.2324\u001b[0m  \u001b[32m59242740.3229\u001b[0m  \u001b[35m52493393.0417\u001b[0m  0.0368\n",
      "     80  \u001b[36m7200.4719\u001b[0m  \u001b[32m58682862.9375\u001b[0m  \u001b[35m51846793.6250\u001b[0m  0.0280\n",
      "     81  \u001b[36m7156.4961\u001b[0m  \u001b[32m58132353.1979\u001b[0m  \u001b[35m51215430.9167\u001b[0m  0.0301\n",
      "     82  \u001b[36m7113.2845\u001b[0m  \u001b[32m57590888.8646\u001b[0m  \u001b[35m50598815.5000\u001b[0m  0.0331\n",
      "     83  \u001b[36m7070.8265\u001b[0m  \u001b[32m57058277.3958\u001b[0m  \u001b[35m49996590.2083\u001b[0m  0.0273\n",
      "     84  \u001b[36m7029.1098\u001b[0m  \u001b[32m56534373.0417\u001b[0m  \u001b[35m49408378.7083\u001b[0m  0.0281\n",
      "     85  \u001b[36m6988.1282\u001b[0m  \u001b[32m56019052.2292\u001b[0m  \u001b[35m48833935.0000\u001b[0m  0.0339\n",
      "     86  \u001b[36m6947.8754\u001b[0m  \u001b[32m55512260.2396\u001b[0m  \u001b[35m48272969.9167\u001b[0m  0.0285\n",
      "     87  \u001b[36m6908.3489\u001b[0m  \u001b[32m55013939.9896\u001b[0m  \u001b[35m47725283.6667\u001b[0m  0.0297\n",
      "     88  \u001b[36m6869.5394\u001b[0m  \u001b[32m54524045.7812\u001b[0m  \u001b[35m47190573.0833\u001b[0m  0.0351\n",
      "     89  \u001b[36m6831.4171\u001b[0m  \u001b[32m54042465.6250\u001b[0m  \u001b[35m46668257.9583\u001b[0m  0.0317\n",
      "     90  \u001b[36m6793.9561\u001b[0m  \u001b[32m53569076.2708\u001b[0m  \u001b[35m46157837.9167\u001b[0m  0.0294\n",
      "     91  \u001b[36m6757.1544\u001b[0m  \u001b[32m53103521.9896\u001b[0m  \u001b[35m45659131.9583\u001b[0m  0.0352\n",
      "     92  \u001b[36m6721.0130\u001b[0m  \u001b[32m52645658.3750\u001b[0m  \u001b[35m45172019.5000\u001b[0m  0.0302\n",
      "     93  \u001b[36m6685.5351\u001b[0m  \u001b[32m52195505.2500\u001b[0m  \u001b[35m44696379.4583\u001b[0m  0.0293\n",
      "     94  \u001b[36m6650.7230\u001b[0m  \u001b[32m51753083.6979\u001b[0m  \u001b[35m44232115.8750\u001b[0m  0.0346\n",
      "     95  \u001b[36m6616.5783\u001b[0m  \u001b[32m51318399.3229\u001b[0m  \u001b[35m43779106.6250\u001b[0m  0.0296\n",
      "     96  \u001b[36m6583.1044\u001b[0m  \u001b[32m50891349.5729\u001b[0m  \u001b[35m43337265.9167\u001b[0m  0.0301\n",
      "     97  \u001b[36m6550.3090\u001b[0m  \u001b[32m50471944.8542\u001b[0m  \u001b[35m42906549.1250\u001b[0m  0.0345\n",
      "     98  \u001b[36m6518.1970\u001b[0m  \u001b[32m50060202.6250\u001b[0m  \u001b[35m42486890.9583\u001b[0m  0.0298\n",
      "     99  \u001b[36m6486.7721\u001b[0m  \u001b[32m49656131.9167\u001b[0m  \u001b[35m42078215.6667\u001b[0m  0.0278\n",
      "    100  \u001b[36m6456.0372\u001b[0m  \u001b[32m49259684.9375\u001b[0m  \u001b[35m41680413.8750\u001b[0m  0.0333\n",
      "    101  \u001b[36m6425.9885\u001b[0m  \u001b[32m48870625.9167\u001b[0m  \u001b[35m41293328.8333\u001b[0m  0.0291\n",
      "    102  \u001b[36m6396.6282\u001b[0m  \u001b[32m48488890.1667\u001b[0m  \u001b[35m40916852.6250\u001b[0m  0.0282\n",
      "    103  \u001b[36m6367.9582\u001b[0m  \u001b[32m48114466.9948\u001b[0m  \u001b[35m40550892.0000\u001b[0m  0.0381\n",
      "    104  \u001b[36m6339.9795\u001b[0m  \u001b[32m47747366.6354\u001b[0m  \u001b[35m40195342.1250\u001b[0m  0.0283\n",
      "    105  \u001b[36m6312.6945\u001b[0m  \u001b[32m47387580.4323\u001b[0m  \u001b[35m39850112.3750\u001b[0m  0.0294\n",
      "    106  \u001b[36m6286.1069\u001b[0m  \u001b[32m47035159.5208\u001b[0m  \u001b[35m39515139.9167\u001b[0m  0.0336\n",
      "    107  \u001b[36m6260.2390\u001b[0m  \u001b[32m46690743.0417\u001b[0m  \u001b[35m39190592.2708\u001b[0m  0.0293\n",
      "    108  \u001b[36m6235.1202\u001b[0m  \u001b[32m46355869.9427\u001b[0m  \u001b[35m38876724.6458\u001b[0m  0.0282\n",
      "    109  \u001b[36m6210.7658\u001b[0m  \u001b[32m46031234.3021\u001b[0m  \u001b[35m38573613.6042\u001b[0m  0.0336\n",
      "    110  \u001b[36m6187.2310\u001b[0m  \u001b[32m45717282.6562\u001b[0m  \u001b[35m38281827.2917\u001b[0m  0.0285\n",
      "    111  \u001b[36m6164.6336\u001b[0m  \u001b[32m45415217.6146\u001b[0m  \u001b[35m38002706.7292\u001b[0m  0.0289\n",
      "    112  \u001b[36m6142.9872\u001b[0m  \u001b[32m45125856.6198\u001b[0m  \u001b[35m37736290.4792\u001b[0m  0.0341\n",
      "    113  \u001b[36m6122.2872\u001b[0m  \u001b[32m44850002.1042\u001b[0m  \u001b[35m37482397.9583\u001b[0m  0.0279\n",
      "    114  \u001b[36m6102.5277\u001b[0m  \u001b[32m44587724.0677\u001b[0m  \u001b[35m37240845.5625\u001b[0m  0.0276\n",
      "    115  \u001b[36m6083.7650\u001b[0m  \u001b[32m44338344.8125\u001b[0m  \u001b[35m37012192.4583\u001b[0m  0.0331\n",
      "    116  \u001b[36m6065.9463\u001b[0m  \u001b[32m44100734.6302\u001b[0m  \u001b[35m36795706.5417\u001b[0m  0.0278\n",
      "    117  \u001b[36m6049.0594\u001b[0m  \u001b[32m43873872.9115\u001b[0m  \u001b[35m36591118.5000\u001b[0m  0.0276\n",
      "    118  \u001b[36m6033.0321\u001b[0m  \u001b[32m43656909.0625\u001b[0m  \u001b[35m36397475.1667\u001b[0m  0.0282\n",
      "    119  \u001b[36m6017.7880\u001b[0m  \u001b[32m43449045.1250\u001b[0m  \u001b[35m36213769.7917\u001b[0m  0.0332\n",
      "    120  \u001b[36m6003.2584\u001b[0m  \u001b[32m43249514.1250\u001b[0m  \u001b[35m36039110.5625\u001b[0m  0.0278\n",
      "    121  \u001b[36m5989.3836\u001b[0m  \u001b[32m43057571.1198\u001b[0m  \u001b[35m35872716.2917\u001b[0m  0.0270\n",
      "    122  \u001b[36m5976.1155\u001b[0m  \u001b[32m42872558.1406\u001b[0m  \u001b[35m35713954.0833\u001b[0m  0.0337\n",
      "    123  \u001b[36m5963.4178\u001b[0m  \u001b[32m42694002.5260\u001b[0m  \u001b[35m35562351.9167\u001b[0m  0.0296\n",
      "    124  \u001b[36m5951.2731\u001b[0m  \u001b[32m42521462.5807\u001b[0m  \u001b[35m35417655.1875\u001b[0m  0.0297\n",
      "    125  \u001b[36m5939.6502\u001b[0m  \u001b[32m42354473.5990\u001b[0m  \u001b[35m35279446.5208\u001b[0m  0.0392\n",
      "    126  \u001b[36m5928.5145\u001b[0m  \u001b[32m42192644.2083\u001b[0m  \u001b[35m35147288.4375\u001b[0m  0.0277\n",
      "    127  \u001b[36m5917.8364\u001b[0m  \u001b[32m42035640.8516\u001b[0m  \u001b[35m35020787.1250\u001b[0m  0.0272\n",
      "    128  \u001b[36m5907.5890\u001b[0m  \u001b[32m41883176.8594\u001b[0m  \u001b[35m34899606.2083\u001b[0m  0.0293\n",
      "    129  \u001b[36m5897.7463\u001b[0m  \u001b[32m41734980.6641\u001b[0m  \u001b[35m34783409.9583\u001b[0m  0.0300\n",
      "    130  \u001b[36m5888.2887\u001b[0m  \u001b[32m41590848.6927\u001b[0m  \u001b[35m34671945.1042\u001b[0m  0.0303\n",
      "    131  \u001b[36m5879.1942\u001b[0m  \u001b[32m41450562.5026\u001b[0m  \u001b[35m34564925.0833\u001b[0m  0.0397\n",
      "    132  \u001b[36m5870.4436\u001b[0m  \u001b[32m41313923.1432\u001b[0m  \u001b[35m34462111.4375\u001b[0m  0.0297\n",
      "    133  \u001b[36m5862.0198\u001b[0m  \u001b[32m41180764.3594\u001b[0m  \u001b[35m34363278.6667\u001b[0m  0.0295\n",
      "    134  \u001b[36m5853.9078\u001b[0m  \u001b[32m41050907.0391\u001b[0m  \u001b[35m34268235.7083\u001b[0m  0.0349\n",
      "    135  \u001b[36m5846.0965\u001b[0m  \u001b[32m40924211.4896\u001b[0m  \u001b[35m34176841.3125\u001b[0m  0.0293\n",
      "    136  \u001b[36m5838.5693\u001b[0m  \u001b[32m40800528.6771\u001b[0m  \u001b[35m34088891.2917\u001b[0m  0.0305\n",
      "    137  \u001b[36m5831.3137\u001b[0m  \u001b[32m40679725.4714\u001b[0m  \u001b[35m34004220.2500\u001b[0m  0.0373\n",
      "    138  \u001b[36m5824.3173\u001b[0m  \u001b[32m40561676.2005\u001b[0m  \u001b[35m33922671.7083\u001b[0m  0.0297\n",
      "    139  \u001b[36m5817.5662\u001b[0m  \u001b[32m40446254.3828\u001b[0m  \u001b[35m33844075.8958\u001b[0m  0.0321\n",
      "    140  \u001b[36m5811.0498\u001b[0m  \u001b[32m40333345.5495\u001b[0m  \u001b[35m33768301.0833\u001b[0m  0.0365\n",
      "    141  \u001b[36m5804.7570\u001b[0m  \u001b[32m40222855.7630\u001b[0m  \u001b[35m33695200.2083\u001b[0m  0.0309\n",
      "    142  \u001b[36m5798.6761\u001b[0m  \u001b[32m40114675.8438\u001b[0m  \u001b[35m33624642.5000\u001b[0m  0.0323\n",
      "    143  \u001b[36m5792.7979\u001b[0m  \u001b[32m40008719.9922\u001b[0m  \u001b[35m33556505.6042\u001b[0m  0.0310\n",
      "    144  \u001b[36m5787.1140\u001b[0m  \u001b[32m39904892.6849\u001b[0m  \u001b[35m33490688.3958\u001b[0m  0.0304\n",
      "    145  \u001b[36m5781.6128\u001b[0m  \u001b[32m39803116.5000\u001b[0m  \u001b[35m33427048.2083\u001b[0m  0.0392\n",
      "    146  \u001b[36m5776.2893\u001b[0m  \u001b[32m39703301.7344\u001b[0m  \u001b[35m33365515.1042\u001b[0m  0.0313\n",
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      "    150  \u001b[36m5756.5886\u001b[0m  \u001b[32m39322233.3568\u001b[0m  \u001b[35m33138309.7917\u001b[0m  0.0306\n",
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      "    156  \u001b[36m5731.2435\u001b[0m  \u001b[32m38804373.4219\u001b[0m  \u001b[35m32847153.4167\u001b[0m  0.0375\n",
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      "    167  \u001b[36m5695.4749\u001b[0m  \u001b[32m38055470.8385\u001b[0m  \u001b[35m32438436.3542\u001b[0m  0.0340\n",
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      "    250  \u001b[36m5588.6447\u001b[0m  \u001b[32m35543508.6771\u001b[0m  \u001b[35m31232949.7500\u001b[0m  0.0294\n",
      "    251  \u001b[36m5587.8874\u001b[0m  \u001b[32m35526891.1589\u001b[0m  \u001b[35m31224481.1250\u001b[0m  0.0382\n",
      "    252  \u001b[36m5587.1318\u001b[0m  \u001b[32m35510434.7500\u001b[0m  \u001b[35m31216041.0000\u001b[0m  0.0308\n",
      "    253  \u001b[36m5586.3761\u001b[0m  \u001b[32m35494107.6042\u001b[0m  \u001b[35m31207597.3333\u001b[0m  0.0302\n",
      "    254  \u001b[36m5585.6149\u001b[0m  \u001b[32m35477856.7917\u001b[0m  \u001b[35m31199091.1667\u001b[0m  0.0299\n",
      "    255  \u001b[36m5584.8368\u001b[0m  \u001b[32m35461564.5911\u001b[0m  \u001b[35m31190402.2500\u001b[0m  0.0313\n",
      "    256  \u001b[36m5584.0167\u001b[0m  \u001b[32m35444983.7266\u001b[0m  \u001b[35m31181241.8333\u001b[0m  0.0353\n",
      "    257  \u001b[36m5583.0911\u001b[0m  \u001b[32m35427510.8672\u001b[0m  \u001b[35m31170907.2083\u001b[0m  0.0307\n",
      "    258  \u001b[36m5581.8909\u001b[0m  \u001b[32m35407619.6875\u001b[0m  \u001b[35m31157506.1667\u001b[0m  0.0291\n",
      "    259  \u001b[36m5580.0149\u001b[0m  \u001b[32m35381525.4583\u001b[0m  \u001b[35m31136566.3750\u001b[0m  0.0344\n",
      "    260  \u001b[36m5577.2640\u001b[0m  \u001b[32m35343544.7292\u001b[0m  \u001b[35m31105873.0417\u001b[0m  0.0290\n",
      "    261  \u001b[36m5575.7559\u001b[0m  \u001b[32m35304481.9427\u001b[0m  \u001b[35m31089053.9167\u001b[0m  0.0284\n",
      "    262  \u001b[36m5575.7312\u001b[0m  \u001b[32m35281377.2448\u001b[0m  \u001b[35m31088779.7083\u001b[0m  0.0285\n",
      "    263  5575.8083  \u001b[32m35258323.2344\u001b[0m  31089636.2083  0.0296\n",
      "    264  \u001b[36m5575.7240\u001b[0m  \u001b[32m35235770.7552\u001b[0m  \u001b[35m31088696.2083\u001b[0m  0.0290\n",
      "    265  \u001b[36m5575.5308\u001b[0m  \u001b[32m35214164.5677\u001b[0m  \u001b[35m31086545.0000\u001b[0m  0.0301\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   8.9s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.2508\u001b[0m  \u001b[32m246710828.3333\u001b[0m  \u001b[35m61673543.3333\u001b[0m  0.0304\n",
      "      2  \u001b[36m7852.5318\u001b[0m  \u001b[32m246697427.2500\u001b[0m  \u001b[35m61662255.3333\u001b[0m  0.0357\n",
      "      3  \u001b[36m7850.8331\u001b[0m  \u001b[32m246665919.3333\u001b[0m  \u001b[35m61635575.6667\u001b[0m  0.0295\n",
      "      4  \u001b[36m7846.9079\u001b[0m  \u001b[32m246591761.3333\u001b[0m  \u001b[35m61573958.3333\u001b[0m  0.0306\n",
      "      5  \u001b[36m7837.7709\u001b[0m  \u001b[32m246418511.0833\u001b[0m  \u001b[35m61430648.0000\u001b[0m  0.0396\n",
      "      6  \u001b[36m7817.6129\u001b[0m  \u001b[32m246023014.4167\u001b[0m  \u001b[35m61115072.6667\u001b[0m  0.0310\n",
      "      7  \u001b[36m7776.8094\u001b[0m  \u001b[32m245187444.3750\u001b[0m  \u001b[35m60478763.3333\u001b[0m  0.0316\n",
      "      8  \u001b[36m7701.0849\u001b[0m  \u001b[32m243572123.0833\u001b[0m  \u001b[35m59306712.6667\u001b[0m  0.0402\n",
      "      9  \u001b[36m7571.7974\u001b[0m  \u001b[32m240702559.7917\u001b[0m  \u001b[35m57332120.0000\u001b[0m  0.0319\n",
      "     10  \u001b[36m7368.5963\u001b[0m  \u001b[32m235994405.3750\u001b[0m  \u001b[35m54296211.3333\u001b[0m  0.0304\n",
      "     11  \u001b[36m7076.2920\u001b[0m  \u001b[32m228845795.5000\u001b[0m  \u001b[35m50073907.3333\u001b[0m  0.0349\n",
      "     12  \u001b[36m6699.4280\u001b[0m  \u001b[32m218828234.7083\u001b[0m  \u001b[35m44882332.3333\u001b[0m  0.0300\n",
      "     13  \u001b[36m6285.6462\u001b[0m  \u001b[32m205988295.5521\u001b[0m  \u001b[35m39509348.0833\u001b[0m  0.0302\n",
      "     14  \u001b[36m5945.3676\u001b[0m  \u001b[32m191164784.9271\u001b[0m  \u001b[35m35347392.1667\u001b[0m  0.0359\n",
      "     15  \u001b[36m5816.5705\u001b[0m  \u001b[32m176033179.0833\u001b[0m  \u001b[35m33832492.3333\u001b[0m  0.0305\n",
      "     16  5938.3853  \u001b[32m162443936.4167\u001b[0m  35264421.3333  0.0299\n",
      "     17  6204.5393  \u001b[32m151294060.8333\u001b[0m  38496309.3333  0.0302\n",
      "     18  6498.4574  \u001b[32m142353157.2500\u001b[0m  42229948.0000  0.0312\n",
      "     19  6764.6596  \u001b[32m135054009.8333\u001b[0m  45760617.1667  0.0348\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=5; total time=   0.7s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.2906\u001b[0m  \u001b[32m252362587.0417\u001b[0m  \u001b[35m223272040.6667\u001b[0m  0.0308\n",
      "      2  \u001b[36m14941.9094\u001b[0m  \u001b[32m252353868.6667\u001b[0m  \u001b[35m223260645.3333\u001b[0m  0.0347\n",
      "      3  \u001b[36m14941.0142\u001b[0m  \u001b[32m252335334.0000\u001b[0m  \u001b[35m223233892.6667\u001b[0m  0.0298\n",
      "      4  \u001b[36m14938.7641\u001b[0m  \u001b[32m252289948.5000\u001b[0m  \u001b[35m223166675.3333\u001b[0m  0.0308\n",
      "      5  \u001b[36m14932.9483\u001b[0m  \u001b[32m252173015.4167\u001b[0m  \u001b[35m222992932.3333\u001b[0m  0.0398\n",
      "      6  \u001b[36m14918.9040\u001b[0m  \u001b[32m251878906.0000\u001b[0m  \u001b[35m222573704.6667\u001b[0m  0.0298\n",
      "      7  \u001b[36m14888.3777\u001b[0m  \u001b[32m251207853.3333\u001b[0m  \u001b[35m221663797.3333\u001b[0m  0.0371\n",
      "      8  \u001b[36m14828.6938\u001b[0m  \u001b[32m249831428.7917\u001b[0m  \u001b[35m219890169.3333\u001b[0m  0.0362\n",
      "      9  \u001b[36m14722.6302\u001b[0m  \u001b[32m247284506.5833\u001b[0m  \u001b[35m216755854.3333\u001b[0m  0.0317\n",
      "     10  \u001b[36m14549.1124\u001b[0m  \u001b[32m242982099.5000\u001b[0m  \u001b[35m211676674.6667\u001b[0m  0.0307\n",
      "     11  \u001b[36m14285.8571\u001b[0m  \u001b[32m236293869.6667\u001b[0m  \u001b[35m204085728.8333\u001b[0m  0.0311\n",
      "     12  \u001b[36m13915.2429\u001b[0m  \u001b[32m226707241.2917\u001b[0m  \u001b[35m193633985.6667\u001b[0m  0.0311\n",
      "     13  \u001b[36m13434.5459\u001b[0m  \u001b[32m214098029.2188\u001b[0m  \u001b[35m180487008.6667\u001b[0m  0.0358\n",
      "     14  \u001b[36m12869.1538\u001b[0m  \u001b[32m199063700.7552\u001b[0m  \u001b[35m165615118.3333\u001b[0m  0.0312\n",
      "     15  \u001b[36m12278.9987\u001b[0m  \u001b[32m183100878.5716\u001b[0m  \u001b[35m150773798.0833\u001b[0m  0.0314\n",
      "     16  \u001b[36m11735.7662\u001b[0m  \u001b[32m168175869.2917\u001b[0m  \u001b[35m137728207.3333\u001b[0m  0.0461\n",
      "     17  \u001b[36m11275.3476\u001b[0m  \u001b[32m155548263.4167\u001b[0m  \u001b[35m127133469.0833\u001b[0m  0.0381\n",
      "     18  \u001b[36m10893.5566\u001b[0m  \u001b[32m145225996.5417\u001b[0m  \u001b[35m118669580.1667\u001b[0m  0.0377\n",
      "     19  \u001b[36m10574.6637\u001b[0m  \u001b[32m136718452.0000\u001b[0m  \u001b[35m111823519.8333\u001b[0m  0.0316\n",
      "     20  \u001b[36m10302.3803\u001b[0m  \u001b[32m129550614.7500\u001b[0m  \u001b[35m106139035.1667\u001b[0m  0.0309\n",
      "     21  \u001b[36m10063.4479\u001b[0m  \u001b[32m123347425.7500\u001b[0m  \u001b[35m101272982.0000\u001b[0m  0.0398\n",
      "     22  \u001b[36m9847.8733\u001b[0m  \u001b[32m117866218.2500\u001b[0m  \u001b[35m96980611.3333\u001b[0m  0.0315\n",
      "     23  \u001b[36m9652.1148\u001b[0m  \u001b[32m112923860.7500\u001b[0m  \u001b[35m93163322.6667\u001b[0m  0.0333\n",
      "     24  \u001b[36m9476.1342\u001b[0m  \u001b[32m108457246.4167\u001b[0m  \u001b[35m89797112.1667\u001b[0m  0.0398\n",
      "     25  \u001b[36m9318.4505\u001b[0m  \u001b[32m104400702.9167\u001b[0m  \u001b[35m86833523.1667\u001b[0m  0.0313\n",
      "     26  \u001b[36m9180.6579\u001b[0m  \u001b[32m100784240.3333\u001b[0m  \u001b[35m84284480.4167\u001b[0m  0.0322\n",
      "     27  \u001b[36m9060.4494\u001b[0m  \u001b[32m97616606.9167\u001b[0m  \u001b[35m82091743.6250\u001b[0m  0.0366\n",
      "     28  \u001b[36m8954.6109\u001b[0m  \u001b[32m94813724.2083\u001b[0m  \u001b[35m80185056.1250\u001b[0m  0.0312\n",
      "     29  \u001b[36m8858.7661\u001b[0m  \u001b[32m92289923.0000\u001b[0m  \u001b[35m78477737.8750\u001b[0m  0.0402\n",
      "     30  \u001b[36m8768.9457\u001b[0m  \u001b[32m89979118.9583\u001b[0m  \u001b[35m76894410.8125\u001b[0m  0.0322\n",
      "     31  \u001b[36m8680.7940\u001b[0m  \u001b[32m87808516.0000\u001b[0m  \u001b[35m75356185.8125\u001b[0m  0.0326\n",
      "     32  \u001b[36m8586.9105\u001b[0m  \u001b[32m85675762.1250\u001b[0m  \u001b[35m73735034.5833\u001b[0m  0.0414\n",
      "     33  \u001b[36m8476.4242\u001b[0m  \u001b[32m83407090.5417\u001b[0m  \u001b[35m71849766.1458\u001b[0m  0.0303\n",
      "     34  \u001b[36m8362.3169\u001b[0m  \u001b[32m80956004.2083\u001b[0m  \u001b[35m69928333.3125\u001b[0m  0.0310\n",
      "     35  \u001b[36m8255.2005\u001b[0m  \u001b[32m78642530.7917\u001b[0m  \u001b[35m68148338.0000\u001b[0m  0.0368\n",
      "     36  \u001b[36m8153.5609\u001b[0m  \u001b[32m76482209.8125\u001b[0m  \u001b[35m66480558.4375\u001b[0m  0.0315\n",
      "     37  \u001b[36m8055.8483\u001b[0m  \u001b[32m74436558.2500\u001b[0m  \u001b[35m64896689.0625\u001b[0m  0.0341\n",
      "     38  \u001b[36m7960.7198\u001b[0m  \u001b[32m72475210.7083\u001b[0m  \u001b[35m63373062.9583\u001b[0m  0.0316\n",
      "     39  \u001b[36m7864.8008\u001b[0m  \u001b[32m70561618.5833\u001b[0m  \u001b[35m61855094.9167\u001b[0m  0.0317\n",
      "     40  \u001b[36m7761.1999\u001b[0m  \u001b[32m68621170.3750\u001b[0m  \u001b[35m60236227.3958\u001b[0m  0.0366\n",
      "     41  \u001b[36m7650.3623\u001b[0m  \u001b[32m66579237.9375\u001b[0m  \u001b[35m58528038.3542\u001b[0m  0.0332\n",
      "     42  \u001b[36m7537.8989\u001b[0m  \u001b[32m64532925.4167\u001b[0m  \u001b[35m56819919.8333\u001b[0m  0.0334\n",
      "     43  \u001b[36m7429.6318\u001b[0m  \u001b[32m62536308.3333\u001b[0m  \u001b[35m55199428.2917\u001b[0m  0.0429\n",
      "     44  \u001b[36m7327.8657\u001b[0m  \u001b[32m60667342.8958\u001b[0m  \u001b[35m53697614.2917\u001b[0m  0.0321\n",
      "     45  \u001b[36m7232.4613\u001b[0m  \u001b[32m58921991.3125\u001b[0m  \u001b[35m52308498.2083\u001b[0m  0.0317\n",
      "     46  \u001b[36m7145.8606\u001b[0m  \u001b[32m57330819.3958\u001b[0m  \u001b[35m51063322.5833\u001b[0m  0.0387\n",
      "     47  \u001b[36m7067.4060\u001b[0m  \u001b[32m55903788.1250\u001b[0m  \u001b[35m49948233.0000\u001b[0m  0.0311\n",
      "     48  \u001b[36m6995.3004\u001b[0m  \u001b[32m54595728.8750\u001b[0m  \u001b[35m48934226.4167\u001b[0m  0.0366\n",
      "     49  \u001b[36m6928.4425\u001b[0m  \u001b[32m53385352.1458\u001b[0m  \u001b[35m48003316.6667\u001b[0m  0.0324\n",
      "     50  \u001b[36m6866.4401\u001b[0m  \u001b[32m52251691.0833\u001b[0m  \u001b[35m47148003.7500\u001b[0m  0.0317\n",
      "     51  \u001b[36m6809.5794\u001b[0m  \u001b[32m51206449.8542\u001b[0m  \u001b[35m46370374.8333\u001b[0m  0.0416\n",
      "     52  \u001b[36m6757.6188\u001b[0m  \u001b[32m50274840.7708\u001b[0m  \u001b[35m45665413.2500\u001b[0m  0.0330\n",
      "     53  \u001b[36m6709.8086\u001b[0m  \u001b[32m49444539.7083\u001b[0m  \u001b[35m45021529.3333\u001b[0m  0.0321\n",
      "     54  \u001b[36m6665.5355\u001b[0m  \u001b[32m48701523.1667\u001b[0m  \u001b[35m44429361.3333\u001b[0m  0.0365\n",
      "     55  \u001b[36m6624.3107\u001b[0m  \u001b[32m48033681.0625\u001b[0m  \u001b[35m43881494.0000\u001b[0m  0.0315\n",
      "     56  \u001b[36m6585.7650\u001b[0m  \u001b[32m47430493.5000\u001b[0m  \u001b[35m43372303.3333\u001b[0m  0.0318\n",
      "     57  \u001b[36m6549.6317\u001b[0m  \u001b[32m46883676.9583\u001b[0m  \u001b[35m42897678.5000\u001b[0m  0.0374\n",
      "     58  \u001b[36m6515.7001\u001b[0m  \u001b[32m46386026.6250\u001b[0m  \u001b[35m42454347.3333\u001b[0m  0.0322\n",
      "     59  \u001b[36m6483.8214\u001b[0m  \u001b[32m45931499.7500\u001b[0m  \u001b[35m42039938.6667\u001b[0m  0.0370\n",
      "     60  \u001b[36m6453.8922\u001b[0m  \u001b[32m45515696.2083\u001b[0m  \u001b[35m41652724.3333\u001b[0m  0.0327\n",
      "     61  \u001b[36m6425.8042\u001b[0m  \u001b[32m45134556.8333\u001b[0m  \u001b[35m41290958.1667\u001b[0m  0.0318\n",
      "     62  \u001b[36m6399.4453\u001b[0m  \u001b[32m44784312.3333\u001b[0m  \u001b[35m40952901.0000\u001b[0m  0.0370\n",
      "     63  \u001b[36m6374.7082\u001b[0m  \u001b[32m44461659.8750\u001b[0m  \u001b[35m40636905.1667\u001b[0m  0.0304\n",
      "     64  \u001b[36m6351.4883\u001b[0m  \u001b[32m44163645.6667\u001b[0m  \u001b[35m40341406.8333\u001b[0m  0.0302\n",
      "     65  \u001b[36m6329.6910\u001b[0m  \u001b[32m43887685.5417\u001b[0m  \u001b[35m40064987.6667\u001b[0m  0.0363\n",
      "     66  \u001b[36m6309.2424\u001b[0m  \u001b[32m43631515.2500\u001b[0m  \u001b[35m39806542.6667\u001b[0m  0.0335\n",
      "     67  \u001b[36m6290.0776\u001b[0m  \u001b[32m43393352.0000\u001b[0m  \u001b[35m39565074.4167\u001b[0m  0.0316\n",
      "     68  \u001b[36m6272.0973\u001b[0m  \u001b[32m43171267.6667\u001b[0m  \u001b[35m39339203.0833\u001b[0m  0.0368\n",
      "     69  \u001b[36m6255.2087\u001b[0m  \u001b[32m42963525.0000\u001b[0m  \u001b[35m39127635.6667\u001b[0m  0.0304\n",
      "     70  \u001b[36m6239.3253\u001b[0m  \u001b[32m42768571.3750\u001b[0m  \u001b[35m38929180.1667\u001b[0m  0.0320\n",
      "     71  \u001b[36m6224.3637\u001b[0m  \u001b[32m42585025.0417\u001b[0m  \u001b[35m38742702.2500\u001b[0m  0.0410\n",
      "     72  \u001b[36m6210.2448\u001b[0m  \u001b[32m42411599.1250\u001b[0m  \u001b[35m38567142.6667\u001b[0m  0.0363\n",
      "     73  \u001b[36m6196.8966\u001b[0m  \u001b[32m42247173.7083\u001b[0m  \u001b[35m38401528.3333\u001b[0m  0.0381\n",
      "     74  \u001b[36m6184.2481\u001b[0m  \u001b[32m42090707.2083\u001b[0m  \u001b[35m38244922.4167\u001b[0m  0.0343\n",
      "     75  \u001b[36m6172.2388\u001b[0m  \u001b[32m41941259.9167\u001b[0m  \u001b[35m38096532.5833\u001b[0m  0.0323\n",
      "     76  \u001b[36m6160.8139\u001b[0m  \u001b[32m41798169.4167\u001b[0m  \u001b[35m37955627.0000\u001b[0m  0.0409\n",
      "     77  \u001b[36m6149.9119\u001b[0m  \u001b[32m41660660.9583\u001b[0m  \u001b[35m37821414.8333\u001b[0m  0.0322\n",
      "     78  \u001b[36m6139.4791\u001b[0m  \u001b[32m41528106.3333\u001b[0m  \u001b[35m37693203.0000\u001b[0m  0.0313\n",
      "     79  \u001b[36m6129.4616\u001b[0m  \u001b[32m41399900.8333\u001b[0m  \u001b[35m37570299.8333\u001b[0m  0.0317\n",
      "     80  \u001b[36m6119.8013\u001b[0m  \u001b[32m41275412.6667\u001b[0m  \u001b[35m37451968.6667\u001b[0m  0.0315\n",
      "     81  \u001b[36m6110.4330\u001b[0m  \u001b[32m41154056.5833\u001b[0m  \u001b[35m37337390.2500\u001b[0m  0.0376\n",
      "     82  \u001b[36m6101.2861\u001b[0m  \u001b[32m41035245.2083\u001b[0m  \u001b[35m37225691.6667\u001b[0m  0.0311\n",
      "     83  \u001b[36m6092.2774\u001b[0m  \u001b[32m40918580.1667\u001b[0m  \u001b[35m37115841.1667\u001b[0m  0.0316\n",
      "     84  \u001b[36m6083.2817\u001b[0m  \u001b[32m40803538.5833\u001b[0m  \u001b[35m37006316.2500\u001b[0m  0.0378\n",
      "     85  \u001b[36m6074.1169\u001b[0m  \u001b[32m40688639.4167\u001b[0m  \u001b[35m36894893.7500\u001b[0m  0.0314\n",
      "     86  \u001b[36m6064.5425\u001b[0m  \u001b[32m40571454.8750\u001b[0m  \u001b[35m36778675.8333\u001b[0m  0.0323\n",
      "     87  \u001b[36m6054.3707\u001b[0m  \u001b[32m40448891.2500\u001b[0m  \u001b[35m36655402.0833\u001b[0m  0.0370\n",
      "     88  \u001b[36m6043.6234\u001b[0m  \u001b[32m40317951.2500\u001b[0m  \u001b[35m36525385.5000\u001b[0m  0.0322\n",
      "     89  \u001b[36m6032.4353\u001b[0m  \u001b[32m40178477.2708\u001b[0m  \u001b[35m36390277.7500\u001b[0m  0.0322\n",
      "     90  \u001b[36m6020.8830\u001b[0m  \u001b[32m40031627.8125\u001b[0m  \u001b[35m36251029.7917\u001b[0m  0.0379\n",
      "     91  \u001b[36m6009.0415\u001b[0m  \u001b[32m39878568.9792\u001b[0m  \u001b[35m36108581.5833\u001b[0m  0.0316\n",
      "     92  \u001b[36m5996.9189\u001b[0m  \u001b[32m39718926.5625\u001b[0m  \u001b[35m35963036.3750\u001b[0m  0.0319\n",
      "     93  \u001b[36m5984.7984\u001b[0m  \u001b[32m39552093.5833\u001b[0m  \u001b[35m35817810.9583\u001b[0m  0.0376\n",
      "     94  \u001b[36m5973.1305\u001b[0m  \u001b[32m39383781.6042\u001b[0m  \u001b[35m35678289.2500\u001b[0m  0.0317\n",
      "     95  \u001b[36m5962.0439\u001b[0m  \u001b[32m39220433.4375\u001b[0m  \u001b[35m35545967.2500\u001b[0m  0.0371\n",
      "     96  \u001b[36m5951.4899\u001b[0m  \u001b[32m39063245.9167\u001b[0m  \u001b[35m35420231.9375\u001b[0m  0.0325\n",
      "     97  \u001b[36m5941.4961\u001b[0m  \u001b[32m38910282.2500\u001b[0m  \u001b[35m35301373.6875\u001b[0m  0.0313\n",
      "     98  \u001b[36m5932.0786\u001b[0m  \u001b[32m38761323.5417\u001b[0m  \u001b[35m35189554.4583\u001b[0m  0.0365\n",
      "     99  \u001b[36m5923.2488\u001b[0m  \u001b[32m38617540.9792\u001b[0m  \u001b[35m35084875.1458\u001b[0m  0.0323\n",
      "    100  \u001b[36m5915.0009\u001b[0m  \u001b[32m38479610.4167\u001b[0m  \u001b[35m34987235.5208\u001b[0m  0.0317\n",
      "    101  \u001b[36m5907.3043\u001b[0m  \u001b[32m38347975.9896\u001b[0m  \u001b[35m34896244.6250\u001b[0m  0.0411\n",
      "    102  \u001b[36m5900.0569\u001b[0m  \u001b[32m38221830.8750\u001b[0m  \u001b[35m34810673.4583\u001b[0m  0.0321\n",
      "    103  \u001b[36m5893.1896\u001b[0m  \u001b[32m38100914.2083\u001b[0m  \u001b[35m34729686.4375\u001b[0m  0.0359\n",
      "    104  \u001b[36m5886.6670\u001b[0m  \u001b[32m37984661.3229\u001b[0m  \u001b[35m34652848.0000\u001b[0m  0.0311\n",
      "    105  \u001b[36m5880.4445\u001b[0m  \u001b[32m37872293.4479\u001b[0m  \u001b[35m34579628.2083\u001b[0m  0.0318\n",
      "    106  \u001b[36m5874.4787\u001b[0m  \u001b[32m37763332.1042\u001b[0m  \u001b[35m34509495.0417\u001b[0m  0.0375\n",
      "    107  \u001b[36m5868.7113\u001b[0m  \u001b[32m37657319.6979\u001b[0m  \u001b[35m34441768.6250\u001b[0m  0.0325\n",
      "    108  \u001b[36m5863.1118\u001b[0m  \u001b[32m37554122.1042\u001b[0m  \u001b[35m34376078.1250\u001b[0m  0.0317\n",
      "    109  \u001b[36m5857.6565\u001b[0m  \u001b[32m37453422.2396\u001b[0m  \u001b[35m34312137.1667\u001b[0m  0.0358\n",
      "    110  \u001b[36m5852.3277\u001b[0m  \u001b[32m37354925.1042\u001b[0m  \u001b[35m34249741.8750\u001b[0m  0.0306\n",
      "    111  \u001b[36m5847.1166\u001b[0m  \u001b[32m37258447.4167\u001b[0m  \u001b[35m34188771.9583\u001b[0m  0.0322\n",
      "    112  \u001b[36m5842.0130\u001b[0m  \u001b[32m37163884.8333\u001b[0m  \u001b[35m34129115.6458\u001b[0m  0.0367\n",
      "    113  \u001b[36m5836.9633\u001b[0m  \u001b[32m37070703.0208\u001b[0m  \u001b[35m34070139.1042\u001b[0m  0.0316\n",
      "    114  \u001b[36m5831.9674\u001b[0m  \u001b[32m36979161.0833\u001b[0m  \u001b[35m34011843.3333\u001b[0m  0.0313\n",
      "    115  \u001b[36m5827.0287\u001b[0m  \u001b[32m36889111.7083\u001b[0m  \u001b[35m33954265.8750\u001b[0m  0.0366\n",
      "    116  \u001b[36m5822.1463\u001b[0m  \u001b[32m36800354.1875\u001b[0m  \u001b[35m33897387.0833\u001b[0m  0.0311\n",
      "    117  \u001b[36m5817.3159\u001b[0m  \u001b[32m36712788.9375\u001b[0m  \u001b[35m33841161.2500\u001b[0m  0.0324\n",
      "    118  \u001b[36m5812.5358\u001b[0m  \u001b[32m36626314.8750\u001b[0m  \u001b[35m33785572.0000\u001b[0m  0.0365\n",
      "    119  \u001b[36m5807.8054\u001b[0m  \u001b[32m36540919.3333\u001b[0m  \u001b[35m33730601.3542\u001b[0m  0.0322\n",
      "    120  \u001b[36m5803.1347\u001b[0m  \u001b[32m36456766.1875\u001b[0m  \u001b[35m33676372.6250\u001b[0m  0.0370\n",
      "    121  \u001b[36m5798.5698\u001b[0m  \u001b[32m36374124.0417\u001b[0m  \u001b[35m33623413.1250\u001b[0m  0.0313\n",
      "    122  \u001b[36m5794.1426\u001b[0m  \u001b[32m36293216.5417\u001b[0m  \u001b[35m33572090.0000\u001b[0m  0.0320\n",
      "    123  \u001b[36m5789.8606\u001b[0m  \u001b[32m36214153.5417\u001b[0m  \u001b[35m33522485.0833\u001b[0m  0.0399\n",
      "    124  \u001b[36m5785.7950\u001b[0m  \u001b[32m36137374.2292\u001b[0m  \u001b[35m33475421.7083\u001b[0m  0.0322\n",
      "    125  \u001b[36m5781.9293\u001b[0m  \u001b[32m36063159.5729\u001b[0m  \u001b[35m33430704.6458\u001b[0m  0.0328\n",
      "    126  \u001b[36m5778.2253\u001b[0m  \u001b[32m35991415.8750\u001b[0m  \u001b[35m33387887.8750\u001b[0m  0.0391\n",
      "    127  \u001b[36m5774.6473\u001b[0m  \u001b[32m35921855.1458\u001b[0m  \u001b[35m33346553.0000\u001b[0m  0.0332\n",
      "    128  \u001b[36m5771.1737\u001b[0m  \u001b[32m35854245.3125\u001b[0m  \u001b[35m33306444.2500\u001b[0m  0.0330\n",
      "    129  \u001b[36m5767.7925\u001b[0m  \u001b[32m35788475.0208\u001b[0m  \u001b[35m33267432.3750\u001b[0m  0.0349\n",
      "    130  \u001b[36m5764.4927\u001b[0m  \u001b[32m35724458.3229\u001b[0m  \u001b[35m33229376.9583\u001b[0m  0.0331\n",
      "    131  \u001b[36m5761.2615\u001b[0m  \u001b[32m35662028.9688\u001b[0m  \u001b[35m33192132.5000\u001b[0m  0.0433\n",
      "    132  \u001b[36m5758.0893\u001b[0m  \u001b[32m35601040.2604\u001b[0m  \u001b[35m33155592.8333\u001b[0m  0.0330\n",
      "    133  \u001b[36m5754.9716\u001b[0m  \u001b[32m35541391.2708\u001b[0m  \u001b[35m33119699.2917\u001b[0m  0.0332\n",
      "    134  \u001b[36m5751.9056\u001b[0m  \u001b[32m35483053.2917\u001b[0m  \u001b[35m33084419.8750\u001b[0m  0.0397\n",
      "    135  \u001b[36m5748.8872\u001b[0m  \u001b[32m35425951.7708\u001b[0m  \u001b[35m33049701.2083\u001b[0m  0.0322\n",
      "    136  \u001b[36m5745.9121\u001b[0m  \u001b[32m35370005.4375\u001b[0m  \u001b[35m33015508.7917\u001b[0m  0.0318\n",
      "    137  \u001b[36m5742.9785\u001b[0m  \u001b[32m35315138.7083\u001b[0m  \u001b[35m32981800.4375\u001b[0m  0.0454\n",
      "    138  \u001b[36m5740.0836\u001b[0m  \u001b[32m35261294.0417\u001b[0m  \u001b[35m32948559.3750\u001b[0m  0.0365\n",
      "    139  \u001b[36m5737.2244\u001b[0m  \u001b[32m35208401.7500\u001b[0m  \u001b[35m32915742.7500\u001b[0m  0.0440\n",
      "    140  \u001b[36m5734.4008\u001b[0m  \u001b[32m35156433.6458\u001b[0m  \u001b[35m32883353.3750\u001b[0m  0.0362\n",
      "    141  \u001b[36m5731.6115\u001b[0m  \u001b[32m35105340.2083\u001b[0m  \u001b[35m32851369.0000\u001b[0m  0.0339\n",
      "    142  \u001b[36m5728.8549\u001b[0m  \u001b[32m35055075.6771\u001b[0m  \u001b[35m32819778.3333\u001b[0m  0.0336\n",
      "    143  \u001b[36m5726.1291\u001b[0m  \u001b[32m35005603.4167\u001b[0m  \u001b[35m32788556.1667\u001b[0m  0.0335\n",
      "    144  \u001b[36m5723.4320\u001b[0m  \u001b[32m34956868.5208\u001b[0m  \u001b[35m32757675.3542\u001b[0m  0.0434\n",
      "    145  \u001b[36m5720.7643\u001b[0m  \u001b[32m34908847.5000\u001b[0m  \u001b[35m32727144.8750\u001b[0m  0.0347\n",
      "    146  \u001b[36m5718.1228\u001b[0m  \u001b[32m34861507.0833\u001b[0m  \u001b[35m32696928.2500\u001b[0m  0.0343\n",
      "    147  \u001b[36m5715.5073\u001b[0m  \u001b[32m34814829.1458\u001b[0m  \u001b[35m32667027.0000\u001b[0m  0.0386\n",
      "    148  \u001b[36m5712.9182\u001b[0m  \u001b[32m34768786.6562\u001b[0m  \u001b[35m32637430.3333\u001b[0m  0.0405\n",
      "    149  \u001b[36m5710.3541\u001b[0m  \u001b[32m34723355.2917\u001b[0m  \u001b[35m32608142.5833\u001b[0m  0.0462\n",
      "    150  \u001b[36m5707.8141\u001b[0m  \u001b[32m34678526.3438\u001b[0m  \u001b[35m32579140.0833\u001b[0m  0.0411\n",
      "    151  \u001b[36m5705.2979\u001b[0m  \u001b[32m34634276.5938\u001b[0m  \u001b[35m32550427.1667\u001b[0m  0.0488\n",
      "    152  \u001b[36m5702.8063\u001b[0m  \u001b[32m34590593.2604\u001b[0m  \u001b[35m32521998.2500\u001b[0m  0.0444\n",
      "    153  \u001b[36m5700.3242\u001b[0m  \u001b[32m34547375.6250\u001b[0m  \u001b[35m32493694.3542\u001b[0m  0.0402\n",
      "    154  \u001b[36m5697.8564\u001b[0m  \u001b[32m34504691.4375\u001b[0m  \u001b[35m32465569.2917\u001b[0m  0.0324\n",
      "    155  \u001b[36m5695.4089\u001b[0m  \u001b[32m34462521.6667\u001b[0m  \u001b[35m32437681.0833\u001b[0m  0.0319\n",
      "    156  \u001b[36m5692.9825\u001b[0m  \u001b[32m34420854.9792\u001b[0m  \u001b[35m32410049.2917\u001b[0m  0.0382\n",
      "    157  \u001b[36m5690.5780\u001b[0m  \u001b[32m34379670.0938\u001b[0m  \u001b[35m32382678.1667\u001b[0m  0.0344\n",
      "    158  \u001b[36m5688.1964\u001b[0m  \u001b[32m34338951.0521\u001b[0m  \u001b[35m32355580.0625\u001b[0m  0.0322\n",
      "    159  \u001b[36m5685.8378\u001b[0m  \u001b[32m34298735.4583\u001b[0m  \u001b[35m32328755.3958\u001b[0m  0.0378\n",
      "    160  \u001b[36m5683.5060\u001b[0m  \u001b[32m34259022.2708\u001b[0m  \u001b[35m32302237.5417\u001b[0m  0.0321\n",
      "    161  \u001b[36m5681.1942\u001b[0m  \u001b[32m34219790.0625\u001b[0m  \u001b[35m32275966.0417\u001b[0m  0.0381\n",
      "    162  \u001b[36m5678.8969\u001b[0m  \u001b[32m34180991.8333\u001b[0m  \u001b[35m32249868.1250\u001b[0m  0.0322\n",
      "    163  \u001b[36m5676.6178\u001b[0m  \u001b[32m34142666.7708\u001b[0m  \u001b[35m32223989.6042\u001b[0m  0.0320\n",
      "    164  \u001b[36m5674.3611\u001b[0m  \u001b[32m34104806.6875\u001b[0m  \u001b[35m32198374.2917\u001b[0m  0.0372\n",
      "    165  \u001b[36m5672.1291\u001b[0m  \u001b[32m34067381.4271\u001b[0m  \u001b[35m32173050.2917\u001b[0m  0.0321\n",
      "    166  \u001b[36m5669.9122\u001b[0m  \u001b[32m34030341.1458\u001b[0m  \u001b[35m32147904.3333\u001b[0m  0.0318\n",
      "    167  \u001b[36m5667.7108\u001b[0m  \u001b[32m33993704.9479\u001b[0m  \u001b[35m32122945.5625\u001b[0m  0.0374\n",
      "    168  \u001b[36m5665.5296\u001b[0m  \u001b[32m33957480.4479\u001b[0m  \u001b[35m32098226.0000\u001b[0m  0.0317\n",
      "    169  \u001b[36m5663.3684\u001b[0m  \u001b[32m33921642.3229\u001b[0m  \u001b[35m32073742.0000\u001b[0m  0.0323\n",
      "    170  \u001b[36m5661.2310\u001b[0m  \u001b[32m33886193.6146\u001b[0m  \u001b[35m32049535.9583\u001b[0m  0.0366\n",
      "    171  \u001b[36m5659.1158\u001b[0m  \u001b[32m33851122.1562\u001b[0m  \u001b[35m32025593.6667\u001b[0m  0.0321\n",
      "    172  \u001b[36m5657.0234\u001b[0m  \u001b[32m33816413.2604\u001b[0m  \u001b[35m32001913.7917\u001b[0m  0.0340\n",
      "    173  \u001b[36m5654.9523\u001b[0m  \u001b[32m33782060.9792\u001b[0m  \u001b[35m31978485.7708\u001b[0m  0.0322\n",
      "    174  \u001b[36m5652.8858\u001b[0m  \u001b[32m33747967.7917\u001b[0m  \u001b[35m31955119.9375\u001b[0m  0.0325\n",
      "    175  \u001b[36m5650.8265\u001b[0m  \u001b[32m33714262.6875\u001b[0m  \u001b[35m31931839.5000\u001b[0m  0.0365\n",
      "    176  \u001b[36m5648.7845\u001b[0m  \u001b[32m33680998.8125\u001b[0m  \u001b[35m31908764.7083\u001b[0m  0.0327\n",
      "    177  \u001b[36m5646.7667\u001b[0m  \u001b[32m33648165.8333\u001b[0m  \u001b[35m31885972.3125\u001b[0m  0.0329\n",
      "    178  \u001b[36m5644.7769\u001b[0m  \u001b[32m33615735.2708\u001b[0m  \u001b[35m31863506.5417\u001b[0m  0.0424\n",
      "    179  \u001b[36m5642.8176\u001b[0m  \u001b[32m33583691.2292\u001b[0m  \u001b[35m31841387.2500\u001b[0m  0.0373\n",
      "    180  \u001b[36m5640.8859\u001b[0m  \u001b[32m33552028.3750\u001b[0m  \u001b[35m31819593.6667\u001b[0m  0.0343\n",
      "    181  \u001b[36m5638.9894\u001b[0m  \u001b[32m33520741.1354\u001b[0m  \u001b[35m31798204.3750\u001b[0m  0.0322\n",
      "    182  \u001b[36m5637.1367\u001b[0m  \u001b[32m33489815.7083\u001b[0m  \u001b[35m31777308.4583\u001b[0m  0.0310\n",
      "    183  \u001b[36m5635.3273\u001b[0m  \u001b[32m33459241.0417\u001b[0m  \u001b[35m31756913.9167\u001b[0m  0.0360\n",
      "    184  \u001b[36m5633.5578\u001b[0m  \u001b[32m33429024.6875\u001b[0m  \u001b[35m31736974.3750\u001b[0m  0.0312\n",
      "    185  \u001b[36m5631.8269\u001b[0m  \u001b[32m33399141.3750\u001b[0m  \u001b[35m31717474.9583\u001b[0m  0.0337\n",
      "    186  \u001b[36m5630.1337\u001b[0m  \u001b[32m33369599.9375\u001b[0m  \u001b[35m31698404.2917\u001b[0m  0.0368\n",
      "    187  \u001b[36m5628.4771\u001b[0m  \u001b[32m33340381.0000\u001b[0m  \u001b[35m31679753.7500\u001b[0m  0.0333\n",
      "    188  \u001b[36m5626.8521\u001b[0m  \u001b[32m33311464.2708\u001b[0m  \u001b[35m31661465.5417\u001b[0m  0.0330\n",
      "    189  \u001b[36m5625.2559\u001b[0m  \u001b[32m33282835.1146\u001b[0m  \u001b[35m31643505.5417\u001b[0m  0.0391\n",
      "    190  \u001b[36m5623.6863\u001b[0m  \u001b[32m33254516.7083\u001b[0m  \u001b[35m31625848.2917\u001b[0m  0.0304\n",
      "    191  \u001b[36m5622.1496\u001b[0m  \u001b[32m33226491.2083\u001b[0m  \u001b[35m31608564.4583\u001b[0m  0.0310\n",
      "    192  \u001b[36m5620.6439\u001b[0m  \u001b[32m33198754.7083\u001b[0m  \u001b[35m31591638.0417\u001b[0m  0.0360\n",
      "    193  \u001b[36m5619.1706\u001b[0m  \u001b[32m33171301.4271\u001b[0m  \u001b[35m31575076.5833\u001b[0m  0.0317\n",
      "    194  \u001b[36m5617.7293\u001b[0m  \u001b[32m33144128.5833\u001b[0m  \u001b[35m31558883.2917\u001b[0m  0.0421\n",
      "    195  \u001b[36m5616.3148\u001b[0m  \u001b[32m33117225.1042\u001b[0m  \u001b[35m31542990.2083\u001b[0m  0.0343\n",
      "    196  \u001b[36m5614.9267\u001b[0m  \u001b[32m33090627.4479\u001b[0m  \u001b[35m31527403.2917\u001b[0m  0.0352\n",
      "    197  \u001b[36m5613.5662\u001b[0m  \u001b[32m33064338.8021\u001b[0m  \u001b[35m31512123.5000\u001b[0m  0.0414\n",
      "    198  \u001b[36m5612.2340\u001b[0m  \u001b[32m33038347.9792\u001b[0m  \u001b[35m31497170.5417\u001b[0m  0.0315\n",
      "    199  \u001b[36m5610.9295\u001b[0m  \u001b[32m33012650.6771\u001b[0m  \u001b[35m31482529.5000\u001b[0m  0.0306\n",
      "    200  \u001b[36m5609.6524\u001b[0m  \u001b[32m32987230.7083\u001b[0m  \u001b[35m31468199.5000\u001b[0m  0.0371\n",
      "    201  \u001b[36m5608.4016\u001b[0m  \u001b[32m32962080.2500\u001b[0m  \u001b[35m31454168.3333\u001b[0m  0.0330\n",
      "    202  \u001b[36m5607.1745\u001b[0m  \u001b[32m32937193.6146\u001b[0m  \u001b[35m31440405.7083\u001b[0m  0.0393\n",
      "    203  \u001b[36m5605.9406\u001b[0m  \u001b[32m32912443.8021\u001b[0m  \u001b[35m31426572.2500\u001b[0m  0.0328\n",
      "    204  \u001b[36m5604.6889\u001b[0m  \u001b[32m32887807.3958\u001b[0m  \u001b[35m31412539.5417\u001b[0m  0.0327\n",
      "    205  \u001b[36m5603.4327\u001b[0m  \u001b[32m32863386.2917\u001b[0m  \u001b[35m31398458.6667\u001b[0m  0.0423\n",
      "    206  \u001b[36m5602.1890\u001b[0m  \u001b[32m32839157.7500\u001b[0m  \u001b[35m31384524.6667\u001b[0m  0.0330\n",
      "    207  \u001b[36m5600.9692\u001b[0m  \u001b[32m32815114.6250\u001b[0m  \u001b[35m31370855.3750\u001b[0m  0.0321\n",
      "    208  \u001b[36m5599.7752\u001b[0m  \u001b[32m32791268.6562\u001b[0m  \u001b[35m31357483.5833\u001b[0m  0.0371\n",
      "    209  \u001b[36m5598.6107\u001b[0m  \u001b[32m32767613.1250\u001b[0m  \u001b[35m31344439.5000\u001b[0m  0.0311\n",
      "    210  \u001b[36m5597.4764\u001b[0m  \u001b[32m32744133.3958\u001b[0m  \u001b[35m31331740.6667\u001b[0m  0.0318\n",
      "    211  \u001b[36m5596.3604\u001b[0m  \u001b[32m32720780.7083\u001b[0m  \u001b[35m31319248.7917\u001b[0m  0.0310\n",
      "    212  \u001b[36m5595.2344\u001b[0m  \u001b[32m32697426.1250\u001b[0m  \u001b[35m31306647.8333\u001b[0m  0.0313\n",
      "    213  \u001b[36m5594.1042\u001b[0m  \u001b[32m32674170.5521\u001b[0m  \u001b[35m31294002.9167\u001b[0m  0.0412\n",
      "    214  \u001b[36m5592.9854\u001b[0m  \u001b[32m32651041.8125\u001b[0m  \u001b[35m31281486.7500\u001b[0m  0.0318\n",
      "    215  \u001b[36m5591.8872\u001b[0m  \u001b[32m32628022.8229\u001b[0m  \u001b[35m31269202.6667\u001b[0m  0.0322\n",
      "    216  \u001b[36m5590.8159\u001b[0m  \u001b[32m32605097.8438\u001b[0m  \u001b[35m31257220.1667\u001b[0m  0.0345\n",
      "    217  \u001b[36m5589.7608\u001b[0m  \u001b[32m32582204.7396\u001b[0m  \u001b[35m31245425.4583\u001b[0m  0.0319\n",
      "    218  \u001b[36m5588.6959\u001b[0m  \u001b[32m32559219.3750\u001b[0m  \u001b[35m31233524.2500\u001b[0m  0.0321\n",
      "    219  \u001b[36m5587.6235\u001b[0m  \u001b[32m32536207.7188\u001b[0m  \u001b[35m31221540.6667\u001b[0m  0.0420\n",
      "    220  \u001b[36m5586.5616\u001b[0m  \u001b[32m32513202.3125\u001b[0m  \u001b[35m31209672.2917\u001b[0m  0.0335\n",
      "    221  \u001b[36m5585.5177\u001b[0m  \u001b[32m32490198.4062\u001b[0m  \u001b[35m31198008.3333\u001b[0m  0.0357\n",
      "    222  \u001b[36m5584.5007\u001b[0m  \u001b[32m32467210.7292\u001b[0m  \u001b[35m31186647.9583\u001b[0m  0.0405\n",
      "    223  \u001b[36m5583.5138\u001b[0m  \u001b[32m32444253.1354\u001b[0m  \u001b[35m31175626.9167\u001b[0m  0.0350\n",
      "    224  \u001b[36m5582.5586\u001b[0m  \u001b[32m32421322.3021\u001b[0m  \u001b[35m31164959.8333\u001b[0m  0.0405\n",
      "    225  \u001b[36m5581.6164\u001b[0m  \u001b[32m32398361.7604\u001b[0m  \u001b[35m31154444.4583\u001b[0m  0.0313\n",
      "    226  \u001b[36m5580.6666\u001b[0m  \u001b[32m32375300.5938\u001b[0m  \u001b[35m31143839.5000\u001b[0m  0.0311\n",
      "    227  \u001b[36m5579.6975\u001b[0m  \u001b[32m32352148.4896\u001b[0m  \u001b[35m31133024.8750\u001b[0m  0.0368\n",
      "    228  \u001b[36m5578.7059\u001b[0m  \u001b[32m32328857.6250\u001b[0m  \u001b[35m31121958.9167\u001b[0m  0.0313\n",
      "    229  \u001b[36m5577.7090\u001b[0m  \u001b[32m32305517.3229\u001b[0m  \u001b[35m31110835.7083\u001b[0m  0.0310\n",
      "    230  \u001b[36m5576.6865\u001b[0m  \u001b[32m32281972.1042\u001b[0m  \u001b[35m31099432.5000\u001b[0m  0.0344\n",
      "    231  \u001b[36m5575.6456\u001b[0m  \u001b[32m32258055.7708\u001b[0m  \u001b[35m31087822.5417\u001b[0m  0.0320\n",
      "    232  \u001b[36m5574.6212\u001b[0m  \u001b[32m32233870.5312\u001b[0m  \u001b[35m31076403.6667\u001b[0m  0.0375\n",
      "    233  \u001b[36m5573.6399\u001b[0m  \u001b[32m32209463.5312\u001b[0m  \u001b[35m31065462.5000\u001b[0m  0.0357\n",
      "    234  \u001b[36m5572.7098\u001b[0m  \u001b[32m32184866.4583\u001b[0m  \u001b[35m31055091.8333\u001b[0m  0.0366\n",
      "    235  \u001b[36m5571.8297\u001b[0m  \u001b[32m32160124.7500\u001b[0m  \u001b[35m31045283.9583\u001b[0m  0.0407\n",
      "    236  \u001b[36m5570.9951\u001b[0m  \u001b[32m32135269.9896\u001b[0m  \u001b[35m31035985.8750\u001b[0m  0.0314\n",
      "    237  \u001b[36m5570.1986\u001b[0m  \u001b[32m32110351.6667\u001b[0m  \u001b[35m31027112.0833\u001b[0m  0.0319\n",
      "    238  \u001b[36m5569.4244\u001b[0m  \u001b[32m32085404.8333\u001b[0m  \u001b[35m31018486.9167\u001b[0m  0.0314\n",
      "    239  \u001b[36m5568.5926\u001b[0m  \u001b[32m32059829.3750\u001b[0m  \u001b[35m31009223.9167\u001b[0m  0.0324\n",
      "    240  \u001b[36m5567.7119\u001b[0m  \u001b[32m32033541.3542\u001b[0m  \u001b[35m30999414.0000\u001b[0m  0.0409\n",
      "    241  \u001b[36m5566.8433\u001b[0m  \u001b[32m32006804.6250\u001b[0m  \u001b[35m30989744.2500\u001b[0m  0.0329\n",
      "    242  \u001b[36m5565.9881\u001b[0m  \u001b[32m31979552.6354\u001b[0m  \u001b[35m30980223.4167\u001b[0m  0.0326\n",
      "    243  \u001b[36m5565.1221\u001b[0m  \u001b[32m31951545.1458\u001b[0m  \u001b[35m30970582.6250\u001b[0m  0.0403\n",
      "    244  \u001b[36m5564.2615\u001b[0m  \u001b[32m31922955.6146\u001b[0m  \u001b[35m30961003.7917\u001b[0m  0.0344\n",
      "    245  \u001b[36m5563.4372\u001b[0m  \u001b[32m31893956.5521\u001b[0m  \u001b[35m30951835.0833\u001b[0m  0.0398\n",
      "    246  \u001b[36m5562.6612\u001b[0m  \u001b[32m31864640.7396\u001b[0m  \u001b[35m30943199.5000\u001b[0m  0.0333\n",
      "    247  \u001b[36m5561.9268\u001b[0m  \u001b[32m31835022.7917\u001b[0m  \u001b[35m30935029.8333\u001b[0m  0.0333\n",
      "    248  \u001b[36m5561.2162\u001b[0m  \u001b[32m31805204.3125\u001b[0m  \u001b[35m30927125.5833\u001b[0m  0.0418\n",
      "    249  \u001b[36m5560.5160\u001b[0m  \u001b[32m31775200.4583\u001b[0m  \u001b[35m30919341.2500\u001b[0m  0.0325\n",
      "    250  \u001b[36m5559.8077\u001b[0m  \u001b[32m31744981.0000\u001b[0m  \u001b[35m30911464.8333\u001b[0m  0.0326\n",
      "    251  \u001b[36m5559.0740\u001b[0m  \u001b[32m31714104.4167\u001b[0m  \u001b[35m30903302.9167\u001b[0m  0.0415\n",
      "    252  \u001b[36m5558.3681\u001b[0m  \u001b[32m31682765.3125\u001b[0m  \u001b[35m30895457.2500\u001b[0m  0.0328\n",
      "    253  \u001b[36m5557.7837\u001b[0m  \u001b[32m31651351.5312\u001b[0m  \u001b[35m30888960.3333\u001b[0m  0.0373\n",
      "    254  \u001b[36m5557.2921\u001b[0m  \u001b[32m31620131.3646\u001b[0m  \u001b[35m30883495.6667\u001b[0m  0.0323\n",
      "    255  \u001b[36m5556.8394\u001b[0m  \u001b[32m31588906.8750\u001b[0m  \u001b[35m30878464.0833\u001b[0m  0.0323\n",
      "    256  \u001b[36m5556.4233\u001b[0m  \u001b[32m31557762.2396\u001b[0m  \u001b[35m30873838.7083\u001b[0m  0.0413\n",
      "    257  \u001b[36m5556.0873\u001b[0m  \u001b[32m31526992.8333\u001b[0m  \u001b[35m30870106.0000\u001b[0m  0.0330\n",
      "    258  \u001b[36m5555.7853\u001b[0m  \u001b[32m31496324.1250\u001b[0m  \u001b[35m30866750.0833\u001b[0m  0.0333\n",
      "    259  \u001b[36m5555.4960\u001b[0m  \u001b[32m31465748.6667\u001b[0m  \u001b[35m30863535.2083\u001b[0m  0.0381\n",
      "    260  \u001b[36m5555.2179\u001b[0m  \u001b[32m31435271.8542\u001b[0m  \u001b[35m30860444.5833\u001b[0m  0.0327\n",
      "    261  \u001b[36m5554.9418\u001b[0m  \u001b[32m31404894.8854\u001b[0m  \u001b[35m30857378.0000\u001b[0m  0.0327\n",
      "    262  \u001b[36m5554.6652\u001b[0m  \u001b[32m31374559.3333\u001b[0m  \u001b[35m30854307.4583\u001b[0m  0.0321\n",
      "    263  \u001b[36m5554.3957\u001b[0m  \u001b[32m31344210.6458\u001b[0m  \u001b[35m30851314.5833\u001b[0m  0.0320\n",
      "    264  \u001b[36m5554.1552\u001b[0m  \u001b[32m31314057.6667\u001b[0m  \u001b[35m30848639.9167\u001b[0m  0.0416\n",
      "    265  \u001b[36m5553.9793\u001b[0m  \u001b[32m31284507.5000\u001b[0m  \u001b[35m30846684.9167\u001b[0m  0.0325\n",
      "    266  \u001b[36m5553.8633\u001b[0m  \u001b[32m31255289.4375\u001b[0m  \u001b[35m30845396.5000\u001b[0m  0.0321\n",
      "    267  \u001b[36m5553.7589\u001b[0m  \u001b[32m31226306.5208\u001b[0m  \u001b[35m30844236.7083\u001b[0m  0.0364\n",
      "    268  \u001b[36m5553.6563\u001b[0m  \u001b[32m31197861.3646\u001b[0m  \u001b[35m30843097.0833\u001b[0m  0.0322\n",
      "    269  \u001b[36m5553.5724\u001b[0m  \u001b[32m31169839.8750\u001b[0m  \u001b[35m30842165.9583\u001b[0m  0.0316\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=5; total time=  10.0s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.0197\u001b[0m  \u001b[32m199115260.4167\u001b[0m  \u001b[35m223263956.6667\u001b[0m  0.0351\n",
      "      2  \u001b[36m14941.3633\u001b[0m  \u001b[32m199102106.0417\u001b[0m  \u001b[35m223244332.3333\u001b[0m  0.0386\n",
      "      3  \u001b[36m14939.9995\u001b[0m  \u001b[32m199075670.3750\u001b[0m  \u001b[35m223203579.0000\u001b[0m  0.0332\n",
      "      4  \u001b[36m14937.1446\u001b[0m  \u001b[32m199020353.6667\u001b[0m  \u001b[35m223118279.0000\u001b[0m  0.0330\n",
      "      5  \u001b[36m14930.9949\u001b[0m  \u001b[32m198902062.9583\u001b[0m  \u001b[35m222934609.3333\u001b[0m  0.0326\n",
      "      6  \u001b[36m14917.9645\u001b[0m  \u001b[32m198647152.5417\u001b[0m  \u001b[35m222545655.6667\u001b[0m  0.0337\n",
      "      7  \u001b[36m14892.1547\u001b[0m  \u001b[32m198124594.0833\u001b[0m  \u001b[35m221776286.6667\u001b[0m  0.0358\n",
      "      8  \u001b[36m14844.8687\u001b[0m  \u001b[32m197133165.5000\u001b[0m  \u001b[35m220370128.6667\u001b[0m  0.0316\n",
      "      9  \u001b[36m14764.3977\u001b[0m  \u001b[32m195394749.9167\u001b[0m  \u001b[35m217987422.0000\u001b[0m  0.0344\n",
      "     10  \u001b[36m14636.4958\u001b[0m  \u001b[32m192565550.8333\u001b[0m  \u001b[35m214227004.3333\u001b[0m  0.0371\n",
      "     11  \u001b[36m14446.1588\u001b[0m  \u001b[32m188280381.4375\u001b[0m  \u001b[35m208691481.6667\u001b[0m  0.0312\n",
      "     12  \u001b[36m14181.3128\u001b[0m  \u001b[32m182250791.1250\u001b[0m  \u001b[35m201109635.0000\u001b[0m  0.0304\n",
      "     13  \u001b[36m13838.8040\u001b[0m  \u001b[32m174416979.9062\u001b[0m  \u001b[35m191512478.8333\u001b[0m  0.0346\n",
      "     14  \u001b[36m13431.8815\u001b[0m  \u001b[32m165127812.0339\u001b[0m  \u001b[35m180415439.4167\u001b[0m  0.0306\n",
      "     15  \u001b[36m12994.7078\u001b[0m  \u001b[32m155239704.4974\u001b[0m  \u001b[35m168862428.2500\u001b[0m  0.0299\n",
      "     16  \u001b[36m12574.9440\u001b[0m  \u001b[32m145941211.2682\u001b[0m  \u001b[35m158129213.0417\u001b[0m  0.0363\n",
      "     17  \u001b[36m12210.2023\u001b[0m  \u001b[32m138197008.3958\u001b[0m  \u001b[35m149089029.7500\u001b[0m  0.0349\n",
      "     18  \u001b[36m11908.2788\u001b[0m  \u001b[32m132194922.1667\u001b[0m  \u001b[35m141807100.7500\u001b[0m  0.0409\n",
      "     19  \u001b[36m11655.9060\u001b[0m  \u001b[32m127489467.2500\u001b[0m  \u001b[35m135860151.1667\u001b[0m  0.0342\n",
      "     20  \u001b[36m11437.5378\u001b[0m  \u001b[32m123579834.5000\u001b[0m  \u001b[35m130817272.6667\u001b[0m  0.0362\n",
      "     21  \u001b[36m11242.0941\u001b[0m  \u001b[32m120152808.0000\u001b[0m  \u001b[35m126384695.6667\u001b[0m  0.0393\n",
      "     22  \u001b[36m11062.4102\u001b[0m  \u001b[32m117037927.0833\u001b[0m  \u001b[35m122376912.1667\u001b[0m  0.0350\n",
      "     23  \u001b[36m10893.5875\u001b[0m  \u001b[32m114135625.7500\u001b[0m  \u001b[35m118670254.5000\u001b[0m  0.0337\n",
      "     24  \u001b[36m10731.7618\u001b[0m  \u001b[32m111374294.2500\u001b[0m  \u001b[35m115170705.0000\u001b[0m  0.0347\n",
      "     25  \u001b[36m10574.6232\u001b[0m  \u001b[32m108707413.7083\u001b[0m  \u001b[35m111822664.3333\u001b[0m  0.0364\n",
      "     26  \u001b[36m10421.3243\u001b[0m  \u001b[32m106128746.6667\u001b[0m  \u001b[35m108604005.7500\u001b[0m  0.0383\n",
      "     27  \u001b[36m10272.5393\u001b[0m  \u001b[32m103648967.7500\u001b[0m  \u001b[35m105525067.9167\u001b[0m  0.0324\n",
      "     28  \u001b[36m10129.4237\u001b[0m  \u001b[32m101287603.3750\u001b[0m  \u001b[35m102605225.4167\u001b[0m  0.0322\n",
      "     29  \u001b[36m9992.0973\u001b[0m  \u001b[32m99057158.6667\u001b[0m  \u001b[35m99842007.1667\u001b[0m  0.0363\n",
      "     30  \u001b[36m9860.5505\u001b[0m  \u001b[32m96956869.1875\u001b[0m  \u001b[35m97230450.2500\u001b[0m  0.0313\n",
      "     31  \u001b[36m9734.8097\u001b[0m  \u001b[32m94982964.7292\u001b[0m  \u001b[35m94766515.1667\u001b[0m  0.0310\n",
      "     32  \u001b[36m9615.5811\u001b[0m  \u001b[32m93141351.1875\u001b[0m  \u001b[35m92459412.5833\u001b[0m  0.0377\n",
      "     33  \u001b[36m9502.1678\u001b[0m  \u001b[32m91422384.4583\u001b[0m  \u001b[35m90291185.6250\u001b[0m  0.0333\n",
      "     34  \u001b[36m9392.8121\u001b[0m  \u001b[32m89791749.4792\u001b[0m  \u001b[35m88224917.7083\u001b[0m  0.0323\n",
      "     35  \u001b[36m9284.5678\u001b[0m  \u001b[32m88197788.6875\u001b[0m  \u001b[35m86203207.1250\u001b[0m  0.0306\n",
      "     36  \u001b[36m9174.1877\u001b[0m  \u001b[32m86588176.5208\u001b[0m  \u001b[35m84165710.0625\u001b[0m  0.0327\n",
      "     37  \u001b[36m9065.7125\u001b[0m  \u001b[32m84969093.5625\u001b[0m  \u001b[35m82187142.6042\u001b[0m  0.0414\n",
      "     38  \u001b[36m8961.2111\u001b[0m  \u001b[32m83424754.4375\u001b[0m  \u001b[35m80303306.2083\u001b[0m  0.0318\n",
      "     39  \u001b[36m8860.4609\u001b[0m  \u001b[32m81947070.1667\u001b[0m  \u001b[35m78507765.2500\u001b[0m  0.0333\n",
      "     40  \u001b[36m8763.3108\u001b[0m  \u001b[32m80521478.8125\u001b[0m  \u001b[35m76795613.0833\u001b[0m  0.0379\n",
      "     41  \u001b[36m8669.8941\u001b[0m  \u001b[32m79139819.5625\u001b[0m  \u001b[35m75167064.5833\u001b[0m  0.0328\n",
      "     42  \u001b[36m8580.2270\u001b[0m  \u001b[32m77805284.5208\u001b[0m  \u001b[35m73620295.1250\u001b[0m  0.0320\n",
      "     43  \u001b[36m8493.2411\u001b[0m  \u001b[32m76513701.2083\u001b[0m  \u001b[35m72135141.7083\u001b[0m  0.0377\n",
      "     44  \u001b[36m8407.9767\u001b[0m  \u001b[32m75258840.7292\u001b[0m  \u001b[35m70694074.4792\u001b[0m  0.0316\n",
      "     45  \u001b[36m8324.2201\u001b[0m  \u001b[32m74039163.8542\u001b[0m  \u001b[35m69292634.0000\u001b[0m  0.0415\n",
      "     46  \u001b[36m8241.8532\u001b[0m  \u001b[32m72856282.3958\u001b[0m  \u001b[35m67928140.3542\u001b[0m  0.0322\n",
      "     47  \u001b[36m8160.6598\u001b[0m  \u001b[32m71707362.8125\u001b[0m  \u001b[35m66596368.1250\u001b[0m  0.0315\n",
      "     48  \u001b[36m8080.2819\u001b[0m  \u001b[32m70587648.7708\u001b[0m  \u001b[35m65290955.3333\u001b[0m  0.0410\n",
      "     49  \u001b[36m7999.9612\u001b[0m  \u001b[32m69489707.4688\u001b[0m  \u001b[35m63999380.7500\u001b[0m  0.0314\n",
      "     50  \u001b[36m7917.7221\u001b[0m  \u001b[32m68395615.8854\u001b[0m  \u001b[35m62690325.8333\u001b[0m  0.0316\n",
      "     51  \u001b[36m7833.1692\u001b[0m  \u001b[32m67272925.0938\u001b[0m  \u001b[35m61358537.2292\u001b[0m  0.0411\n",
      "     52  \u001b[36m7749.4844\u001b[0m  \u001b[32m66138600.4167\u001b[0m  \u001b[35m60054503.1250\u001b[0m  0.0311\n",
      "     53  \u001b[36m7667.9168\u001b[0m  \u001b[32m65017215.0000\u001b[0m  \u001b[35m58796950.7917\u001b[0m  0.0388\n",
      "     54  \u001b[36m7590.2535\u001b[0m  \u001b[32m63932367.3542\u001b[0m  \u001b[35m57611950.6458\u001b[0m  0.0323\n",
      "     55  \u001b[36m7515.4561\u001b[0m  \u001b[32m62911219.4792\u001b[0m  \u001b[35m56482080.2917\u001b[0m  0.0311\n",
      "     56  \u001b[36m7443.2044\u001b[0m  \u001b[32m61950089.1250\u001b[0m  \u001b[35m55401292.6667\u001b[0m  0.0410\n",
      "     57  \u001b[36m7373.2880\u001b[0m  \u001b[32m61039713.6458\u001b[0m  \u001b[35m54365370.7917\u001b[0m  0.0315\n",
      "     58  \u001b[36m7305.4259\u001b[0m  \u001b[32m60171590.6562\u001b[0m  \u001b[35m53369247.4583\u001b[0m  0.0334\n",
      "     59  \u001b[36m7239.4527\u001b[0m  \u001b[32m59335964.8958\u001b[0m  \u001b[35m52409677.0833\u001b[0m  0.0385\n",
      "     60  \u001b[36m7175.2829\u001b[0m  \u001b[32m58527011.6250\u001b[0m  \u001b[35m51484684.9583\u001b[0m  0.0322\n",
      "     61  \u001b[36m7112.8416\u001b[0m  \u001b[32m57742530.9688\u001b[0m  \u001b[35m50592522.2500\u001b[0m  0.0417\n",
      "     62  \u001b[36m7052.0434\u001b[0m  \u001b[32m56979548.4167\u001b[0m  \u001b[35m49731317.0833\u001b[0m  0.0312\n",
      "     63  \u001b[36m6992.8100\u001b[0m  \u001b[32m56235599.5312\u001b[0m  \u001b[35m48899388.7083\u001b[0m  0.0316\n",
      "     64  \u001b[36m6935.0804\u001b[0m  \u001b[32m55509157.6458\u001b[0m  \u001b[35m48095336.5833\u001b[0m  0.0377\n",
      "     65  \u001b[36m6878.8066\u001b[0m  \u001b[32m54799324.5833\u001b[0m  \u001b[35m47317979.9167\u001b[0m  0.0315\n",
      "     66  \u001b[36m6823.9546\u001b[0m  \u001b[32m54105392.0521\u001b[0m  \u001b[35m46566354.2500\u001b[0m  0.0334\n",
      "     67  \u001b[36m6770.4975\u001b[0m  \u001b[32m53426822.0833\u001b[0m  \u001b[35m45839637.2083\u001b[0m  0.0407\n",
      "     68  \u001b[36m6718.4138\u001b[0m  \u001b[32m52763152.8542\u001b[0m  \u001b[35m45137083.0000\u001b[0m  0.0314\n",
      "     69  \u001b[36m6667.6872\u001b[0m  \u001b[32m52113961.2188\u001b[0m  \u001b[35m44458052.5417\u001b[0m  0.0314\n",
      "     70  \u001b[36m6618.4249\u001b[0m  \u001b[32m51480080.3854\u001b[0m  \u001b[35m43803547.0000\u001b[0m  0.0380\n",
      "     71  \u001b[36m6571.0203\u001b[0m  \u001b[32m50864257.4375\u001b[0m  \u001b[35m43178313.0833\u001b[0m  0.0347\n",
      "     72  \u001b[36m6525.4211\u001b[0m  \u001b[32m50267810.2188\u001b[0m  \u001b[35m42581123.2083\u001b[0m  0.0371\n",
      "     73  \u001b[36m6481.5220\u001b[0m  \u001b[32m49691316.2188\u001b[0m  \u001b[35m42010125.8750\u001b[0m  0.0325\n",
      "     74  \u001b[36m6439.2214\u001b[0m  \u001b[32m49133619.8958\u001b[0m  \u001b[35m41463573.7083\u001b[0m  0.0337\n",
      "     75  \u001b[36m6398.4382\u001b[0m  \u001b[32m48592904.3958\u001b[0m  \u001b[35m40940005.8333\u001b[0m  0.0429\n",
      "     76  \u001b[36m6359.1116\u001b[0m  \u001b[32m48068657.7396\u001b[0m  \u001b[35m40438300.4167\u001b[0m  0.0315\n",
      "     77  \u001b[36m6321.2239\u001b[0m  \u001b[32m47561564.0833\u001b[0m  \u001b[35m39957871.3333\u001b[0m  0.0307\n",
      "     78  \u001b[36m6284.7880\u001b[0m  \u001b[32m47071554.5000\u001b[0m  \u001b[35m39498564.4583\u001b[0m  0.0404\n",
      "     79  \u001b[36m6249.7443\u001b[0m  \u001b[32m46597525.1354\u001b[0m  \u001b[35m39059303.6667\u001b[0m  0.0307\n",
      "     80  \u001b[36m6216.0396\u001b[0m  \u001b[32m46138278.8958\u001b[0m  \u001b[35m38639150.2917\u001b[0m  0.0308\n",
      "     81  \u001b[36m6183.6332\u001b[0m  \u001b[32m45692956.6042\u001b[0m  \u001b[35m38237319.7917\u001b[0m  0.0329\n",
      "     82  \u001b[36m6152.4958\u001b[0m  \u001b[32m45260958.9896\u001b[0m  \u001b[35m37853204.3750\u001b[0m  0.0378\n",
      "     83  \u001b[36m6122.6141\u001b[0m  \u001b[32m44842522.1042\u001b[0m  \u001b[35m37486405.4583\u001b[0m  0.0367\n",
      "     84  \u001b[36m6093.9905\u001b[0m  \u001b[32m44439028.4479\u001b[0m  \u001b[35m37136719.3333\u001b[0m  0.0307\n",
      "     85  \u001b[36m6066.6379\u001b[0m  \u001b[32m44050894.2188\u001b[0m  \u001b[35m36804094.0000\u001b[0m  0.0293\n",
      "     86  \u001b[36m6040.6063\u001b[0m  \u001b[32m43677505.1406\u001b[0m  \u001b[35m36488922.9583\u001b[0m  0.0358\n",
      "     87  \u001b[36m6015.8258\u001b[0m  \u001b[32m43318098.0833\u001b[0m  \u001b[35m36190158.2917\u001b[0m  0.0302\n",
      "     88  \u001b[36m5992.2310\u001b[0m  \u001b[32m42971676.3333\u001b[0m  \u001b[35m35906832.5833\u001b[0m  0.0308\n",
      "     89  \u001b[36m5969.7641\u001b[0m  \u001b[32m42637462.2760\u001b[0m  \u001b[35m35638082.3333\u001b[0m  0.0349\n",
      "     90  \u001b[36m5948.3699\u001b[0m  \u001b[32m42314777.9427\u001b[0m  \u001b[35m35383103.9583\u001b[0m  0.0295\n",
      "     91  \u001b[36m5928.0024\u001b[0m  \u001b[32m42002994.5781\u001b[0m  \u001b[35m35141214.7500\u001b[0m  0.0301\n",
      "     92  \u001b[36m5908.6320\u001b[0m  \u001b[32m41702385.8958\u001b[0m  \u001b[35m34911934.4583\u001b[0m  0.0351\n",
      "     93  \u001b[36m5890.3008\u001b[0m  \u001b[32m41413506.5260\u001b[0m  \u001b[35m34695644.2083\u001b[0m  0.0315\n",
      "     94  \u001b[36m5873.1188\u001b[0m  \u001b[32m41137179.2396\u001b[0m  \u001b[35m34493524.8333\u001b[0m  0.0307\n",
      "     95  \u001b[36m5857.0832\u001b[0m  \u001b[32m40873107.6562\u001b[0m  \u001b[35m34305423.2083\u001b[0m  0.0358\n",
      "     96  \u001b[36m5842.0832\u001b[0m  \u001b[32m40620692.8281\u001b[0m  \u001b[35m34129938.0833\u001b[0m  0.0306\n",
      "     97  \u001b[36m5828.0199\u001b[0m  \u001b[32m40379281.0052\u001b[0m  \u001b[35m33965815.2917\u001b[0m  0.0314\n",
      "     98  \u001b[36m5814.8087\u001b[0m  \u001b[32m40148434.8490\u001b[0m  \u001b[35m33811998.6250\u001b[0m  0.0421\n",
      "     99  \u001b[36m5802.3740\u001b[0m  \u001b[32m39927834.9740\u001b[0m  \u001b[35m33667544.9167\u001b[0m  0.0322\n",
      "    100  \u001b[36m5790.6482\u001b[0m  \u001b[32m39716625.8333\u001b[0m  \u001b[35m33531606.8750\u001b[0m  0.0333\n",
      "    101  \u001b[36m5779.5742\u001b[0m  \u001b[32m39514310.7161\u001b[0m  \u001b[35m33403476.2500\u001b[0m  0.0334\n",
      "    102  \u001b[36m5769.0984\u001b[0m  \u001b[32m39320171.1250\u001b[0m  \u001b[35m33282495.7500\u001b[0m  0.0310\n",
      "    103  \u001b[36m5759.1770\u001b[0m  \u001b[32m39133565.9557\u001b[0m  \u001b[35m33168120.5417\u001b[0m  0.0397\n",
      "    104  \u001b[36m5749.7673\u001b[0m  \u001b[32m38953983.7474\u001b[0m  \u001b[35m33059824.6250\u001b[0m  0.0331\n",
      "    105  \u001b[36m5740.8529\u001b[0m  \u001b[32m38780870.0208\u001b[0m  \u001b[35m32957391.5625\u001b[0m  0.0314\n",
      "    106  \u001b[36m5732.4140\u001b[0m  \u001b[32m38613857.3490\u001b[0m  \u001b[35m32860570.3750\u001b[0m  0.0371\n",
      "    107  \u001b[36m5724.4114\u001b[0m  \u001b[32m38452493.4557\u001b[0m  \u001b[35m32768883.5000\u001b[0m  0.0318\n",
      "    108  \u001b[36m5716.8131\u001b[0m  \u001b[32m38296438.7344\u001b[0m  \u001b[35m32681953.0417\u001b[0m  0.0296\n",
      "    109  \u001b[36m5709.5891\u001b[0m  \u001b[32m38145344.0651\u001b[0m  \u001b[35m32599409.8750\u001b[0m  0.0372\n",
      "    110  \u001b[36m5702.7137\u001b[0m  \u001b[32m37998912.9427\u001b[0m  \u001b[35m32520944.5625\u001b[0m  0.0333\n",
      "    111  \u001b[36m5696.1620\u001b[0m  \u001b[32m37856885.0417\u001b[0m  \u001b[35m32446263.4583\u001b[0m  0.0388\n",
      "    112  \u001b[36m5689.9141\u001b[0m  \u001b[32m37719027.2474\u001b[0m  \u001b[35m32375123.3333\u001b[0m  0.0324\n",
      "    113  \u001b[36m5683.9485\u001b[0m  \u001b[32m37585108.3333\u001b[0m  \u001b[35m32307268.1667\u001b[0m  0.0311\n",
      "    114  \u001b[36m5678.2490\u001b[0m  \u001b[32m37454960.2005\u001b[0m  \u001b[35m32242511.1042\u001b[0m  0.0364\n",
      "    115  \u001b[36m5672.8002\u001b[0m  \u001b[32m37328465.5729\u001b[0m  \u001b[35m32180661.1458\u001b[0m  0.0322\n",
      "    116  \u001b[36m5667.5905\u001b[0m  \u001b[32m37205550.4583\u001b[0m  \u001b[35m32121580.9792\u001b[0m  0.0313\n",
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      "    118  \u001b[36m5657.8860\u001b[0m  \u001b[32m36972298.2786\u001b[0m  \u001b[35m32011676.1250\u001b[0m  0.0326\n",
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      "    120  \u001b[36m5649.1642\u001b[0m  \u001b[32m36760045.2318\u001b[0m  \u001b[35m31913054.8542\u001b[0m  0.0377\n",
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      "    128  \u001b[36m5624.3515\u001b[0m  \u001b[32m36108361.8828\u001b[0m  \u001b[35m31633330.2292\u001b[0m  0.0382\n",
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      "    130  \u001b[36m5620.0162\u001b[0m  \u001b[32m35982826.9870\u001b[0m  \u001b[35m31584579.0833\u001b[0m  0.0326\n",
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      "    133  \u001b[36m5614.3810\u001b[0m  \u001b[32m35812349.9089\u001b[0m  \u001b[35m31521272.0000\u001b[0m  0.0374\n",
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      "    425  \u001b[36m5382.4435\u001b[0m  \u001b[32m31174572.8229\u001b[0m  \u001b[35m28970699.7917\u001b[0m  0.0351\n",
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      "    427  \u001b[36m5381.2103\u001b[0m  \u001b[32m31160463.6615\u001b[0m  \u001b[35m28957422.4167\u001b[0m  0.0373\n",
      "    428  \u001b[36m5380.5946\u001b[0m  \u001b[32m31153441.6172\u001b[0m  \u001b[35m28950797.9167\u001b[0m  0.0326\n",
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      "    430  \u001b[36m5379.3689\u001b[0m  \u001b[32m31139475.6380\u001b[0m  \u001b[35m28937613.0833\u001b[0m  0.0380\n",
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      "    432  \u001b[36m5378.1482\u001b[0m  \u001b[32m31125609.5651\u001b[0m  \u001b[35m28924478.1250\u001b[0m  0.0381\n",
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      "    435  \u001b[36m5376.3266\u001b[0m  \u001b[32m31104985.2526\u001b[0m  \u001b[35m28904887.4583\u001b[0m  0.0364\n",
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      "    440  \u001b[36m5373.3111\u001b[0m  \u001b[32m31071047.9036\u001b[0m  \u001b[35m28872472.4583\u001b[0m  0.0367\n",
      "    441  \u001b[36m5372.7103\u001b[0m  \u001b[32m31064324.2109\u001b[0m  \u001b[35m28866016.5417\u001b[0m  0.0316\n",
      "    442  \u001b[36m5372.1108\u001b[0m  \u001b[32m31057611.0417\u001b[0m  \u001b[35m28859571.5000\u001b[0m  0.0382\n",
      "    443  \u001b[36m5371.5106\u001b[0m  \u001b[32m31050923.2943\u001b[0m  \u001b[35m28853125.9167\u001b[0m  0.0401\n",
      "    444  \u001b[36m5370.9107\u001b[0m  \u001b[32m31044252.7214\u001b[0m  \u001b[35m28846683.3333\u001b[0m  0.0315\n",
      "    445  \u001b[36m5370.3125\u001b[0m  \u001b[32m31037604.8828\u001b[0m  \u001b[35m28840253.4583\u001b[0m  0.0323\n",
      "    446  \u001b[36m5369.7127\u001b[0m  \u001b[32m31030968.1198\u001b[0m  \u001b[35m28833812.5833\u001b[0m  0.0363\n",
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      "    448  \u001b[36m5368.5164\u001b[0m  \u001b[32m31017740.8125\u001b[0m  \u001b[35m28820967.0000\u001b[0m  0.0386\n",
      "    449  \u001b[36m5367.9186\u001b[0m  \u001b[32m31011160.6146\u001b[0m  \u001b[35m28814549.1667\u001b[0m  0.0325\n",
      "    450  \u001b[36m5367.3211\u001b[0m  \u001b[32m31004590.1224\u001b[0m  \u001b[35m28808135.5833\u001b[0m  0.0332\n",
      "    451  \u001b[36m5366.7254\u001b[0m  \u001b[32m30998037.7604\u001b[0m  \u001b[35m28801741.9167\u001b[0m  0.0413\n",
      "    452  \u001b[36m5366.1288\u001b[0m  \u001b[32m30991504.2188\u001b[0m  \u001b[35m28795339.4583\u001b[0m  0.0331\n",
      "    453  \u001b[36m5365.5335\u001b[0m  \u001b[32m30984980.1094\u001b[0m  \u001b[35m28788950.3333\u001b[0m  0.0337\n",
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      "    456  \u001b[36m5363.7524\u001b[0m  \u001b[32m30965503.0026\u001b[0m  \u001b[35m28769837.2917\u001b[0m  0.0424\n",
      "    457  \u001b[36m5363.1597\u001b[0m  \u001b[32m30959041.5443\u001b[0m  \u001b[35m28763485.2500\u001b[0m  0.0330\n",
      "    458  \u001b[36m5362.5686\u001b[0m  \u001b[32m30952594.3047\u001b[0m  \u001b[35m28757142.1667\u001b[0m  0.0329\n",
      "    459  \u001b[36m5361.9778\u001b[0m  \u001b[32m30946169.3542\u001b[0m  \u001b[35m28750804.3750\u001b[0m  0.0376\n",
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      "    469  \u001b[36m5356.1219\u001b[0m  \u001b[32m30882702.1120\u001b[0m  \u001b[35m28688043.0000\u001b[0m  0.0461\n",
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      "    471  \u001b[36m5354.9601\u001b[0m  \u001b[32m30870187.4974\u001b[0m  \u001b[35m28675596.5000\u001b[0m  0.0329\n",
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      "    473  \u001b[36m5353.8009\u001b[0m  \u001b[32m30857726.5443\u001b[0m  \u001b[35m28663185.2083\u001b[0m  0.0329\n",
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      "    500  \u001b[36m5338.4367\u001b[0m  \u001b[32m30694623.6641\u001b[0m  \u001b[35m28498907.8542\u001b[0m  0.0321\n",
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      "    502  \u001b[36m5337.3205\u001b[0m  \u001b[32m30682893.5651\u001b[0m  \u001b[35m28486990.0625\u001b[0m  0.0372\n",
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      "    504  \u001b[36m5336.2046\u001b[0m  \u001b[32m30671199.9245\u001b[0m  \u001b[35m28475079.2500\u001b[0m  0.0309\n",
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      "    509  \u001b[36m5333.4216\u001b[0m  \u001b[32m30642155.5156\u001b[0m  \u001b[35m28445387.1667\u001b[0m  0.0336\n",
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      "    518  \u001b[36m5328.4639\u001b[0m  \u001b[32m30590551.4219\u001b[0m  \u001b[35m28392529.5833\u001b[0m  0.0394\n",
      "    519  \u001b[36m5327.9264\u001b[0m  \u001b[32m30584890.9115\u001b[0m  \u001b[35m28386799.4167\u001b[0m  0.0324\n",
      "    520  \u001b[36m5327.3943\u001b[0m  \u001b[32m30579251.2292\u001b[0m  \u001b[35m28381131.6458\u001b[0m  0.0332\n",
      "    521  \u001b[36m5326.8676\u001b[0m  \u001b[32m30573627.4089\u001b[0m  \u001b[35m28375516.5000\u001b[0m  0.0418\n",
      "    522  \u001b[36m5326.3438\u001b[0m  \u001b[32m30568019.3906\u001b[0m  \u001b[35m28369937.8750\u001b[0m  0.0327\n",
      "    523  \u001b[36m5325.8248\u001b[0m  \u001b[32m30562427.4375\u001b[0m  \u001b[35m28364407.1250\u001b[0m  0.0322\n",
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      "    525  \u001b[36m5324.7958\u001b[0m  \u001b[32m30551290.3854\u001b[0m  \u001b[35m28353450.9792\u001b[0m  0.0325\n",
      "    526  \u001b[36m5324.2855\u001b[0m  \u001b[32m30545748.1094\u001b[0m  \u001b[35m28348017.9583\u001b[0m  0.0319\n",
      "    527  \u001b[36m5323.7782\u001b[0m  \u001b[32m30540222.0573\u001b[0m  \u001b[35m28342613.1458\u001b[0m  0.0327\n",
      "    528  \u001b[36m5323.2732\u001b[0m  \u001b[32m30534707.2682\u001b[0m  \u001b[35m28337235.5833\u001b[0m  0.0326\n",
      "    529  \u001b[36m5322.7701\u001b[0m  \u001b[32m30529215.3958\u001b[0m  \u001b[35m28331883.6667\u001b[0m  0.0368\n",
      "    530  \u001b[36m5322.2696\u001b[0m  \u001b[32m30523737.2786\u001b[0m  \u001b[35m28326554.3125\u001b[0m  0.0331\n",
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      "    532  \u001b[36m5321.2745\u001b[0m  \u001b[32m30512813.3672\u001b[0m  \u001b[35m28315961.9167\u001b[0m  0.0440\n",
      "    533  \u001b[36m5320.7795\u001b[0m  \u001b[32m30507375.8411\u001b[0m  \u001b[35m28310692.9583\u001b[0m  0.0320\n",
      "    534  \u001b[36m5320.2870\u001b[0m  \u001b[32m30501951.1589\u001b[0m  \u001b[35m28305453.5000\u001b[0m  0.0326\n",
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      "    536  \u001b[36m5319.3054\u001b[0m  \u001b[32m30491147.1120\u001b[0m  \u001b[35m28295009.8750\u001b[0m  0.0310\n",
      "    537  \u001b[36m5318.8170\u001b[0m  \u001b[32m30485764.0729\u001b[0m  \u001b[35m28289812.2708\u001b[0m  0.0414\n",
      "    538  \u001b[36m5318.3300\u001b[0m  \u001b[32m30480393.1745\u001b[0m  \u001b[35m28284632.4792\u001b[0m  0.0318\n",
      "    539  \u001b[36m5317.8439\u001b[0m  \u001b[32m30475041.6797\u001b[0m  \u001b[35m28279463.7500\u001b[0m  0.0318\n",
      "    540  \u001b[36m5317.3597\u001b[0m  \u001b[32m30469696.4635\u001b[0m  \u001b[35m28274314.9792\u001b[0m  0.0386\n",
      "    541  \u001b[36m5316.8767\u001b[0m  \u001b[32m30464369.6979\u001b[0m  \u001b[35m28269178.1667\u001b[0m  0.0324\n",
      "    542  \u001b[36m5316.3956\u001b[0m  \u001b[32m30459050.1641\u001b[0m  \u001b[35m28264062.8750\u001b[0m  0.0332\n",
      "    543  \u001b[36m5315.9150\u001b[0m  \u001b[32m30453744.8542\u001b[0m  \u001b[35m28258950.7083\u001b[0m  0.0374\n",
      "    544  \u001b[36m5315.4356\u001b[0m  \u001b[32m30448452.6849\u001b[0m  \u001b[35m28253856.0833\u001b[0m  0.0336\n",
      "    545  \u001b[36m5314.9570\u001b[0m  \u001b[32m30443174.4089\u001b[0m  \u001b[35m28248766.0833\u001b[0m  0.0375\n",
      "    546  \u001b[36m5314.4798\u001b[0m  \u001b[32m30437907.0208\u001b[0m  \u001b[35m28243696.3750\u001b[0m  0.0331\n",
      "    547  \u001b[36m5314.0036\u001b[0m  \u001b[32m30432651.3385\u001b[0m  \u001b[35m28238633.5833\u001b[0m  0.0341\n",
      "    548  \u001b[36m5313.5290\u001b[0m  \u001b[32m30427402.7318\u001b[0m  \u001b[35m28233590.7917\u001b[0m  0.0398\n",
      "    549  \u001b[36m5313.0551\u001b[0m  \u001b[32m30422173.4453\u001b[0m  \u001b[35m28228554.6667\u001b[0m  0.0329\n",
      "    550  \u001b[36m5312.5815\u001b[0m  \u001b[32m30416953.5417\u001b[0m  \u001b[35m28223523.7917\u001b[0m  0.0330\n",
      "    551  \u001b[36m5312.1092\u001b[0m  \u001b[32m30411746.6823\u001b[0m  \u001b[35m28218504.7292\u001b[0m  0.0382\n",
      "    552  \u001b[36m5311.6385\u001b[0m  \u001b[32m30406552.8359\u001b[0m  \u001b[35m28213500.5833\u001b[0m  0.0358\n",
      "    553  \u001b[36m5311.1684\u001b[0m  \u001b[32m30401364.8672\u001b[0m  \u001b[35m28208508.8333\u001b[0m  0.0371\n",
      "    554  \u001b[36m5310.6986\u001b[0m  \u001b[32m30396189.2344\u001b[0m  \u001b[35m28203521.4583\u001b[0m  0.0368\n",
      "    555  \u001b[36m5310.2301\u001b[0m  \u001b[32m30391025.2188\u001b[0m  \u001b[35m28198544.9167\u001b[0m  0.0358\n",
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      "    557  \u001b[36m5309.2962\u001b[0m  \u001b[32m30380731.2786\u001b[0m  \u001b[35m28188626.5417\u001b[0m  0.0330\n",
      "    558  \u001b[36m5308.8304\u001b[0m  \u001b[32m30375596.6745\u001b[0m  \u001b[35m28183680.5208\u001b[0m  0.0319\n",
      "    559  \u001b[36m5308.3655\u001b[0m  \u001b[32m30370482.3333\u001b[0m  \u001b[35m28178744.1667\u001b[0m  0.0327\n",
      "    560  \u001b[36m5307.9013\u001b[0m  \u001b[32m30365370.8099\u001b[0m  \u001b[35m28173817.2708\u001b[0m  0.0333\n",
      "    561  \u001b[36m5307.4378\u001b[0m  \u001b[32m30360276.0990\u001b[0m  \u001b[35m28168895.6250\u001b[0m  0.0368\n",
      "    562  \u001b[36m5306.9748\u001b[0m  \u001b[32m30355183.7526\u001b[0m  \u001b[35m28163983.0833\u001b[0m  0.0314\n",
      "    563  \u001b[36m5306.5137\u001b[0m  \u001b[32m30350108.3099\u001b[0m  \u001b[35m28159088.2500\u001b[0m  0.0318\n",
      "    564  \u001b[36m5306.0530\u001b[0m  \u001b[32m30345033.0000\u001b[0m  \u001b[35m28154196.6667\u001b[0m  0.0356\n",
      "    565  \u001b[36m5305.5923\u001b[0m  \u001b[32m30339975.7656\u001b[0m  \u001b[35m28149309.6042\u001b[0m  0.0316\n",
      "    566  \u001b[36m5305.1309\u001b[0m  \u001b[32m30334924.0104\u001b[0m  \u001b[35m28144413.1250\u001b[0m  0.0316\n",
      "    567  \u001b[36m5304.6706\u001b[0m  \u001b[32m30329884.8307\u001b[0m  \u001b[35m28139532.7083\u001b[0m  0.0406\n",
      "    568  \u001b[36m5304.2112\u001b[0m  \u001b[32m30324852.9401\u001b[0m  \u001b[35m28134656.4583\u001b[0m  0.0332\n",
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      "    570  \u001b[36m5303.2933\u001b[0m  \u001b[32m30314824.3750\u001b[0m  \u001b[35m28124919.9583\u001b[0m  0.0374\n",
      "    571  \u001b[36m5302.8345\u001b[0m  \u001b[32m30309822.3594\u001b[0m  \u001b[35m28120054.1875\u001b[0m  0.0397\n",
      "    572  \u001b[36m5302.3778\u001b[0m  \u001b[32m30304833.2982\u001b[0m  \u001b[35m28115211.5833\u001b[0m  0.0340\n",
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      "    575  \u001b[36m5301.0107\u001b[0m  \u001b[32m30289913.1133\u001b[0m  \u001b[35m28100714.6667\u001b[0m  0.0472\n",
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      "    577  \u001b[36m5300.1126\u001b[0m  \u001b[32m30280024.9297\u001b[0m  \u001b[35m28091195.4583\u001b[0m  0.0374\n",
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      "    590  \u001b[36m5294.4705\u001b[0m  \u001b[32m30216665.0039\u001b[0m  \u001b[35m28031417.1250\u001b[0m  0.0432\n",
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      "    606  \u001b[36m5287.7059\u001b[0m  \u001b[32m30140637.2057\u001b[0m  \u001b[35m27959834.2292\u001b[0m  0.0390\n",
      "    607  \u001b[36m5287.2880\u001b[0m  \u001b[32m30135950.1484\u001b[0m  \u001b[35m27955413.5208\u001b[0m  0.0388\n",
      "    608  \u001b[36m5286.8700\u001b[0m  \u001b[32m30131270.4141\u001b[0m  \u001b[35m27950994.2917\u001b[0m  0.0334\n",
      "    609  \u001b[36m5286.4527\u001b[0m  \u001b[32m30126598.3398\u001b[0m  \u001b[35m27946582.8333\u001b[0m  0.0379\n",
      "    610  \u001b[36m5286.0359\u001b[0m  \u001b[32m30121932.3151\u001b[0m  \u001b[35m27942177.5833\u001b[0m  0.0332\n",
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      "    612  \u001b[36m5285.2033\u001b[0m  \u001b[32m30112628.9401\u001b[0m  \u001b[35m27933374.6250\u001b[0m  0.0321\n",
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      "    615  \u001b[36m5283.9582\u001b[0m  \u001b[32m30098721.0990\u001b[0m  \u001b[35m27920214.0417\u001b[0m  0.0306\n",
      "    616  \u001b[36m5283.5448\u001b[0m  \u001b[32m30094094.7201\u001b[0m  \u001b[35m27915843.4583\u001b[0m  0.0313\n",
      "    617  \u001b[36m5283.1309\u001b[0m  \u001b[32m30089480.5547\u001b[0m  \u001b[35m27911470.5833\u001b[0m  0.0376\n",
      "    618  \u001b[36m5282.7175\u001b[0m  \u001b[32m30084868.4089\u001b[0m  \u001b[35m27907104.1875\u001b[0m  0.0331\n",
      "    619  \u001b[36m5282.3050\u001b[0m  \u001b[32m30080264.9648\u001b[0m  \u001b[35m27902748.4167\u001b[0m  0.0328\n",
      "    620  \u001b[36m5281.8928\u001b[0m  \u001b[32m30075670.0807\u001b[0m  \u001b[35m27898393.2917\u001b[0m  0.0334\n",
      "    621  \u001b[36m5281.4810\u001b[0m  \u001b[32m30071077.4583\u001b[0m  \u001b[35m27894042.7500\u001b[0m  0.0329\n",
      "    622  \u001b[36m5281.0703\u001b[0m  \u001b[32m30066492.4401\u001b[0m  \u001b[35m27889704.3750\u001b[0m  0.0422\n",
      "    623  \u001b[36m5280.6598\u001b[0m  \u001b[32m30061917.5495\u001b[0m  \u001b[35m27885365.5833\u001b[0m  0.0316\n",
      "    624  \u001b[36m5280.2490\u001b[0m  \u001b[32m30057347.8216\u001b[0m  \u001b[35m27881027.3750\u001b[0m  0.0304\n",
      "    625  \u001b[36m5279.8396\u001b[0m  \u001b[32m30052781.0182\u001b[0m  \u001b[35m27876706.8958\u001b[0m  0.0378\n",
      "    626  \u001b[36m5279.4295\u001b[0m  \u001b[32m30048224.0469\u001b[0m  \u001b[35m27872376.3125\u001b[0m  0.0319\n",
      "    627  \u001b[36m5279.0211\u001b[0m  \u001b[32m30043670.7487\u001b[0m  \u001b[35m27868064.1042\u001b[0m  0.0335\n",
      "    628  \u001b[36m5278.6125\u001b[0m  \u001b[32m30039126.4818\u001b[0m  \u001b[35m27863748.6042\u001b[0m  0.0369\n",
      "    629  \u001b[36m5278.2048\u001b[0m  \u001b[32m30034585.2057\u001b[0m  \u001b[35m27859443.7083\u001b[0m  0.0324\n",
      "    630  \u001b[36m5277.7963\u001b[0m  \u001b[32m30030047.7695\u001b[0m  \u001b[35m27855134.7500\u001b[0m  0.0364\n",
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      "    632  \u001b[36m5276.9834\u001b[0m  \u001b[32m30021001.3477\u001b[0m  \u001b[35m27846553.9167\u001b[0m  0.0318\n",
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      "    751  \u001b[36m5231.8545\u001b[0m  \u001b[32m29493432.2018\u001b[0m  \u001b[35m27372300.7917\u001b[0m  0.0402\n",
      "    752  \u001b[36m5231.4877\u001b[0m  \u001b[32m29488566.3789\u001b[0m  \u001b[35m27368462.3958\u001b[0m  0.0309\n",
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      "    754  \u001b[36m5230.7544\u001b[0m  \u001b[32m29478784.6302\u001b[0m  \u001b[35m27360791.8542\u001b[0m  0.0371\n",
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      "    760  \u001b[36m5228.5633\u001b[0m  \u001b[32m29448692.6719\u001b[0m  \u001b[35m27337876.7917\u001b[0m  0.0387\n",
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      "    767  \u001b[36m5225.9895\u001b[0m  \u001b[32m29412670.2773\u001b[0m  \u001b[35m27310963.1458\u001b[0m  0.0330\n",
      "    768  \u001b[36m5225.6228\u001b[0m  \u001b[32m29407466.5247\u001b[0m  \u001b[35m27307133.1667\u001b[0m  0.0338\n",
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      "    770  \u001b[36m5224.8927\u001b[0m  \u001b[32m29397004.8281\u001b[0m  \u001b[35m27299502.9167\u001b[0m  0.0378\n",
      "    771  \u001b[36m5224.5285\u001b[0m  \u001b[32m29391753.8034\u001b[0m  \u001b[35m27295698.8542\u001b[0m  0.0337\n",
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      "    777  \u001b[36m5222.3634\u001b[0m  \u001b[32m29359859.8203\u001b[0m  \u001b[35m27273079.6667\u001b[0m  0.0321\n",
      "    778  \u001b[36m5222.0057\u001b[0m  \u001b[32m29354496.7695\u001b[0m  \u001b[35m27269343.7708\u001b[0m  0.0380\n",
      "    779  \u001b[36m5221.6480\u001b[0m  \u001b[32m29349150.9714\u001b[0m  \u001b[35m27265607.1458\u001b[0m  0.0334\n",
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      "    781  \u001b[36m5220.9378\u001b[0m  \u001b[32m29338483.7422\u001b[0m  \u001b[35m27258191.6250\u001b[0m  0.0381\n",
      "    782  \u001b[36m5220.5848\u001b[0m  \u001b[32m29333171.5833\u001b[0m  \u001b[35m27254506.8958\u001b[0m  0.0323\n",
      "    783  \u001b[36m5220.2347\u001b[0m  \u001b[32m29327865.4284\u001b[0m  \u001b[35m27250849.6250\u001b[0m  0.0337\n",
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      "    785  \u001b[36m5219.5402\u001b[0m  \u001b[32m29317283.1589\u001b[0m  \u001b[35m27243600.4167\u001b[0m  0.0317\n",
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      "    792  \u001b[36m5217.1784\u001b[0m  \u001b[32m29280388.4336\u001b[0m  \u001b[35m27218950.2708\u001b[0m  0.0364\n",
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      "    808  \u001b[36m5212.2093\u001b[0m  \u001b[32m29195649.8828\u001b[0m  \u001b[35m27167124.6250\u001b[0m  0.0311\n",
      "    809  \u001b[36m5211.9179\u001b[0m  \u001b[32m29190270.5039\u001b[0m  \u001b[35m27164087.6250\u001b[0m  0.0369\n",
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      "    818  \u001b[36m5209.3806\u001b[0m  \u001b[32m29141190.4128\u001b[0m  \u001b[35m27137645.5625\u001b[0m  0.0309\n",
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      "    820  \u001b[36m5208.8350\u001b[0m  \u001b[32m29130133.4232\u001b[0m  \u001b[35m27131963.3542\u001b[0m  0.0384\n",
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      "    823  \u001b[36m5208.0261\u001b[0m  \u001b[32m29113547.0547\u001b[0m  \u001b[35m27123532.7083\u001b[0m  0.0381\n",
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      "    825  \u001b[36m5207.4931\u001b[0m  \u001b[32m29102474.0677\u001b[0m  \u001b[35m27117984.2500\u001b[0m  0.0371\n",
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      "    828  \u001b[36m5206.7064\u001b[0m  \u001b[32m29085862.0299\u001b[0m  \u001b[35m27109792.6667\u001b[0m  0.0385\n",
      "    829  \u001b[36m5206.4462\u001b[0m  \u001b[32m29080350.7031\u001b[0m  \u001b[35m27107081.7292\u001b[0m  0.0335\n",
      "    830  \u001b[36m5206.1892\u001b[0m  \u001b[32m29074858.4076\u001b[0m  \u001b[35m27104406.1458\u001b[0m  0.0330\n",
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      "    833  \u001b[36m5205.4356\u001b[0m  \u001b[32m29058472.0638\u001b[0m  \u001b[35m27096561.1667\u001b[0m  0.0442\n",
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      "    838  \u001b[36m5204.2415\u001b[0m  \u001b[32m29031498.1289\u001b[0m  \u001b[35m27084130.5208\u001b[0m  0.0374\n",
      "    839  \u001b[36m5204.0129\u001b[0m  \u001b[32m29026143.0143\u001b[0m  \u001b[35m27081750.5417\u001b[0m  0.0340\n",
      "    840  \u001b[36m5203.7871\u001b[0m  \u001b[32m29020806.0703\u001b[0m  \u001b[35m27079398.6250\u001b[0m  0.0316\n",
      "    841  \u001b[36m5203.5632\u001b[0m  \u001b[32m29015472.6120\u001b[0m  \u001b[35m27077069.2083\u001b[0m  0.0352\n",
      "    842  \u001b[36m5203.3426\u001b[0m  \u001b[32m29010154.9857\u001b[0m  \u001b[35m27074773.4583\u001b[0m  0.0315\n",
      "    843  \u001b[36m5203.1252\u001b[0m  \u001b[32m29004842.6120\u001b[0m  \u001b[35m27072510.9792\u001b[0m  0.0320\n",
      "    844  \u001b[36m5202.9101\u001b[0m  \u001b[32m28999535.9427\u001b[0m  \u001b[35m27070273.6042\u001b[0m  0.0370\n",
      "    845  \u001b[36m5202.6980\u001b[0m  \u001b[32m28994239.9531\u001b[0m  \u001b[35m27068067.3958\u001b[0m  0.0310\n",
      "    846  \u001b[36m5202.4886\u001b[0m  \u001b[32m28988950.9062\u001b[0m  \u001b[35m27065888.2500\u001b[0m  0.0311\n",
      "    847  \u001b[36m5202.2805\u001b[0m  \u001b[32m28983664.4336\u001b[0m  \u001b[35m27063722.1042\u001b[0m  0.0355\n",
      "    848  \u001b[36m5202.0763\u001b[0m  \u001b[32m28978386.9089\u001b[0m  \u001b[35m27061597.2083\u001b[0m  0.0310\n",
      "    849  \u001b[36m5201.8743\u001b[0m  \u001b[32m28973116.9232\u001b[0m  \u001b[35m27059495.6667\u001b[0m  0.0321\n",
      "    850  \u001b[36m5201.6738\u001b[0m  \u001b[32m28967849.6497\u001b[0m  \u001b[35m27057410.4583\u001b[0m  0.0371\n",
      "    851  \u001b[36m5201.4767\u001b[0m  \u001b[32m28962585.5000\u001b[0m  \u001b[35m27055361.1667\u001b[0m  0.0318\n",
      "    852  \u001b[36m5201.2814\u001b[0m  \u001b[32m28957330.6562\u001b[0m  \u001b[35m27053330.2292\u001b[0m  0.0371\n",
      "    853  \u001b[36m5201.0889\u001b[0m  \u001b[32m28952073.9948\u001b[0m  \u001b[35m27051323.9167\u001b[0m  0.0332\n",
      "    854  \u001b[36m5200.8984\u001b[0m  \u001b[32m28946816.3359\u001b[0m  \u001b[35m27049344.0417\u001b[0m  0.0314\n",
      "    855  \u001b[36m5200.7107\u001b[0m  \u001b[32m28941561.4349\u001b[0m  \u001b[35m27047390.0208\u001b[0m  0.0356\n",
      "    856  \u001b[36m5200.5246\u001b[0m  \u001b[32m28936308.4688\u001b[0m  \u001b[35m27045453.3125\u001b[0m  0.0315\n",
      "    857  \u001b[36m5200.3413\u001b[0m  \u001b[32m28931058.7448\u001b[0m  \u001b[35m27043549.9167\u001b[0m  0.0316\n",
      "    858  \u001b[36m5200.1585\u001b[0m  \u001b[32m28925804.9766\u001b[0m  \u001b[35m27041647.5833\u001b[0m  0.0367\n",
      "    859  \u001b[36m5199.9760\u001b[0m  \u001b[32m28920571.5352\u001b[0m  \u001b[35m27039750.8333\u001b[0m  0.0308\n",
      "    860  \u001b[36m5199.7956\u001b[0m  \u001b[32m28915347.8750\u001b[0m  \u001b[35m27037876.4375\u001b[0m  0.0359\n",
      "    861  \u001b[36m5199.6171\u001b[0m  \u001b[32m28910137.0430\u001b[0m  \u001b[35m27036018.5833\u001b[0m  0.0366\n",
      "    862  \u001b[36m5199.4402\u001b[0m  \u001b[32m28904945.0130\u001b[0m  \u001b[35m27034178.0625\u001b[0m  0.0320\n",
      "    863  \u001b[36m5199.2640\u001b[0m  \u001b[32m28899762.9805\u001b[0m  \u001b[35m27032347.5625\u001b[0m  0.0310\n",
      "    864  \u001b[36m5199.0907\u001b[0m  \u001b[32m28894591.6003\u001b[0m  \u001b[35m27030541.6667\u001b[0m  0.0331\n",
      "    865  \u001b[36m5198.9178\u001b[0m  \u001b[32m28889426.9336\u001b[0m  \u001b[35m27028747.6458\u001b[0m  0.0317\n",
      "    866  \u001b[36m5198.7481\u001b[0m  \u001b[32m28884269.1784\u001b[0m  \u001b[35m27026982.0417\u001b[0m  0.0421\n",
      "    867  \u001b[36m5198.5792\u001b[0m  \u001b[32m28879122.5690\u001b[0m  \u001b[35m27025225.1667\u001b[0m  0.0318\n",
      "    868  \u001b[36m5198.4123\u001b[0m  \u001b[32m28873980.7526\u001b[0m  \u001b[35m27023489.7292\u001b[0m  0.0319\n",
      "    869  \u001b[36m5198.2472\u001b[0m  \u001b[32m28868848.6406\u001b[0m  \u001b[35m27021772.4583\u001b[0m  0.0328\n",
      "    870  \u001b[36m5198.0829\u001b[0m  \u001b[32m28863719.3138\u001b[0m  \u001b[35m27020068.0625\u001b[0m  0.0321\n",
      "    871  \u001b[36m5197.9205\u001b[0m  \u001b[32m28858589.2109\u001b[0m  \u001b[35m27018378.3125\u001b[0m  0.0344\n",
      "    872  \u001b[36m5197.7611\u001b[0m  \u001b[32m28853475.0260\u001b[0m  \u001b[35m27016718.0833\u001b[0m  0.0420\n",
      "    873  \u001b[36m5197.6012\u001b[0m  \u001b[32m28848356.8763\u001b[0m  \u001b[35m27015057.7917\u001b[0m  0.0326\n",
      "    874  \u001b[36m5197.4426\u001b[0m  \u001b[32m28843243.2786\u001b[0m  \u001b[35m27013412.3333\u001b[0m  0.0327\n",
      "    875  \u001b[36m5197.2872\u001b[0m  \u001b[32m28838131.0378\u001b[0m  \u001b[35m27011794.6875\u001b[0m  0.0341\n",
      "    876  \u001b[36m5197.1323\u001b[0m  \u001b[32m28833023.0039\u001b[0m  \u001b[35m27010183.9167\u001b[0m  0.0328\n",
      "    877  \u001b[36m5196.9797\u001b[0m  \u001b[32m28827918.3281\u001b[0m  \u001b[35m27008596.6042\u001b[0m  0.0427\n",
      "    878  \u001b[36m5196.8283\u001b[0m  \u001b[32m28822812.7643\u001b[0m  \u001b[35m27007024.8333\u001b[0m  0.0323\n",
      "    879  \u001b[36m5196.6787\u001b[0m  \u001b[32m28817703.9258\u001b[0m  \u001b[35m27005469.8750\u001b[0m  0.0324\n",
      "    880  \u001b[36m5196.5302\u001b[0m  \u001b[32m28812601.4388\u001b[0m  \u001b[35m27003927.8125\u001b[0m  0.0388\n",
      "    881  \u001b[36m5196.3832\u001b[0m  \u001b[32m28807489.5208\u001b[0m  \u001b[35m27002397.1250\u001b[0m  0.0348\n",
      "    882  \u001b[36m5196.2377\u001b[0m  \u001b[32m28802388.3268\u001b[0m  \u001b[35m27000884.8750\u001b[0m  0.0358\n",
      "    883  \u001b[36m5196.0941\u001b[0m  \u001b[32m28797276.7656\u001b[0m  \u001b[35m26999395.3125\u001b[0m  0.0322\n",
      "    884  \u001b[36m5195.9521\u001b[0m  \u001b[32m28792165.9714\u001b[0m  \u001b[35m26997918.0417\u001b[0m  0.0341\n",
      "    885  \u001b[36m5195.8108\u001b[0m  \u001b[32m28787055.4935\u001b[0m  \u001b[35m26996449.5417\u001b[0m  0.0381\n",
      "    886  \u001b[36m5195.6722\u001b[0m  \u001b[32m28781940.7331\u001b[0m  \u001b[35m26995010.3958\u001b[0m  0.0339\n",
      "    887  \u001b[36m5195.5333\u001b[0m  \u001b[32m28776819.2344\u001b[0m  \u001b[35m26993566.2083\u001b[0m  0.0337\n",
      "    888  \u001b[36m5195.3978\u001b[0m  \u001b[32m28771701.4362\u001b[0m  \u001b[35m26992156.7500\u001b[0m  0.0412\n",
      "    889  \u001b[36m5195.2630\u001b[0m  \u001b[32m28766577.1693\u001b[0m  \u001b[35m26990756.8958\u001b[0m  0.0315\n",
      "    890  \u001b[36m5195.1300\u001b[0m  \u001b[32m28761448.2786\u001b[0m  \u001b[35m26989376.7292\u001b[0m  0.0336\n",
      "    891  \u001b[36m5194.9986\u001b[0m  \u001b[32m28756314.6107\u001b[0m  \u001b[35m26988009.5833\u001b[0m  0.0339\n",
      "    892  \u001b[36m5194.8690\u001b[0m  \u001b[32m28751172.1016\u001b[0m  \u001b[35m26986663.8958\u001b[0m  0.0341\n",
      "    893  \u001b[36m5194.7412\u001b[0m  \u001b[32m28746031.4479\u001b[0m  \u001b[35m26985336.1042\u001b[0m  0.0375\n",
      "    894  \u001b[36m5194.6136\u001b[0m  \u001b[32m28740881.9245\u001b[0m  \u001b[35m26984011.1875\u001b[0m  0.0327\n",
      "    895  \u001b[36m5194.4877\u001b[0m  \u001b[32m28735725.1263\u001b[0m  \u001b[35m26982702.5417\u001b[0m  0.0333\n",
      "    896  \u001b[36m5194.3639\u001b[0m  \u001b[32m28730563.2422\u001b[0m  \u001b[35m26981418.1042\u001b[0m  0.0379\n",
      "    897  \u001b[36m5194.2407\u001b[0m  \u001b[32m28725394.4974\u001b[0m  \u001b[35m26980135.1250\u001b[0m  0.0327\n",
      "    898  \u001b[36m5194.1182\u001b[0m  \u001b[32m28720220.2617\u001b[0m  \u001b[35m26978863.0625\u001b[0m  0.0326\n",
      "    899  \u001b[36m5193.9971\u001b[0m  \u001b[32m28715039.5456\u001b[0m  \u001b[35m26977607.5417\u001b[0m  0.0314\n",
      "    900  \u001b[36m5193.8770\u001b[0m  \u001b[32m28709854.1224\u001b[0m  \u001b[35m26976355.3958\u001b[0m  0.0314\n",
      "    901  \u001b[36m5193.7568\u001b[0m  \u001b[32m28704661.9401\u001b[0m  \u001b[35m26975109.1875\u001b[0m  0.0369\n",
      "    902  \u001b[36m5193.6371\u001b[0m  \u001b[32m28699462.2018\u001b[0m  \u001b[35m26973866.9167\u001b[0m  0.0322\n",
      "    903  \u001b[36m5193.5177\u001b[0m  \u001b[32m28694251.5312\u001b[0m  \u001b[35m26972627.1250\u001b[0m  0.0332\n",
      "    904  \u001b[36m5193.3998\u001b[0m  \u001b[32m28689036.1445\u001b[0m  \u001b[35m26971402.3542\u001b[0m  0.0383\n",
      "    905  \u001b[36m5193.2818\u001b[0m  \u001b[32m28683813.9219\u001b[0m  \u001b[35m26970175.6250\u001b[0m  0.0329\n",
      "    906  \u001b[36m5193.1642\u001b[0m  \u001b[32m28678586.1328\u001b[0m  \u001b[35m26968954.7500\u001b[0m  0.0330\n",
      "    907  \u001b[36m5193.0477\u001b[0m  \u001b[32m28673345.9206\u001b[0m  \u001b[35m26967743.5625\u001b[0m  0.0391\n",
      "    908  \u001b[36m5192.9321\u001b[0m  \u001b[32m28668102.1159\u001b[0m  \u001b[35m26966544.1458\u001b[0m  0.0320\n",
      "    909  \u001b[36m5192.8164\u001b[0m  \u001b[32m28662846.7240\u001b[0m  \u001b[35m26965341.3750\u001b[0m  0.0317\n",
      "    910  \u001b[36m5192.7012\u001b[0m  \u001b[32m28657587.7188\u001b[0m  \u001b[35m26964149.1667\u001b[0m  0.0321\n",
      "    911  \u001b[36m5192.5870\u001b[0m  \u001b[32m28652320.4115\u001b[0m  \u001b[35m26962958.1250\u001b[0m  0.0317\n",
      "    912  \u001b[36m5192.4732\u001b[0m  \u001b[32m28647044.6146\u001b[0m  \u001b[35m26961776.3542\u001b[0m  0.0374\n",
      "    913  \u001b[36m5192.3596\u001b[0m  \u001b[32m28641757.2982\u001b[0m  \u001b[35m26960599.3958\u001b[0m  0.0332\n",
      "    914  \u001b[36m5192.2475\u001b[0m  \u001b[32m28636463.0716\u001b[0m  \u001b[35m26959433.6250\u001b[0m  0.0342\n",
      "    915  \u001b[36m5192.1356\u001b[0m  \u001b[32m28631162.6263\u001b[0m  \u001b[35m26958271.2292\u001b[0m  0.0394\n",
      "    916  \u001b[36m5192.0239\u001b[0m  \u001b[32m28625854.8490\u001b[0m  \u001b[35m26957111.9375\u001b[0m  0.0380\n",
      "    917  \u001b[36m5191.9129\u001b[0m  \u001b[32m28620534.3698\u001b[0m  \u001b[35m26955959.4792\u001b[0m  0.0425\n",
      "    918  \u001b[36m5191.8028\u001b[0m  \u001b[32m28615208.8464\u001b[0m  \u001b[35m26954815.3958\u001b[0m  0.0337\n",
      "    919  \u001b[36m5191.6941\u001b[0m  \u001b[32m28609871.4674\u001b[0m  \u001b[35m26953686.2500\u001b[0m  0.0329\n",
      "    920  \u001b[36m5191.5847\u001b[0m  \u001b[32m28604526.0130\u001b[0m  \u001b[35m26952552.9167\u001b[0m  0.0375\n",
      "    921  \u001b[36m5191.4767\u001b[0m  \u001b[32m28599173.4232\u001b[0m  \u001b[35m26951428.3750\u001b[0m  0.0311\n",
      "    922  \u001b[36m5191.3688\u001b[0m  \u001b[32m28593804.6745\u001b[0m  \u001b[35m26950308.5833\u001b[0m  0.0317\n",
      "    923  \u001b[36m5191.2627\u001b[0m  \u001b[32m28588435.2917\u001b[0m  \u001b[35m26949208.7917\u001b[0m  0.0372\n",
      "    924  \u001b[36m5191.1556\u001b[0m  \u001b[32m28583048.8984\u001b[0m  \u001b[35m26948095.1458\u001b[0m  0.0324\n",
      "    925  \u001b[36m5191.0502\u001b[0m  \u001b[32m28577662.5703\u001b[0m  \u001b[35m26947000.7708\u001b[0m  0.0349\n",
      "    926  \u001b[36m5190.9452\u001b[0m  \u001b[32m28572261.6745\u001b[0m  \u001b[35m26945911.8542\u001b[0m  0.0328\n",
      "    927  \u001b[36m5190.8412\u001b[0m  \u001b[32m28566841.3958\u001b[0m  \u001b[35m26944831.9792\u001b[0m  0.0326\n",
      "    928  \u001b[36m5190.7377\u001b[0m  \u001b[32m28561425.4336\u001b[0m  \u001b[35m26943758.1458\u001b[0m  0.0371\n",
      "    929  \u001b[36m5190.6341\u001b[0m  \u001b[32m28555996.0807\u001b[0m  \u001b[35m26942683.8542\u001b[0m  0.0335\n",
      "    930  \u001b[36m5190.5314\u001b[0m  \u001b[32m28550558.0885\u001b[0m  \u001b[35m26941617.0208\u001b[0m  0.0333\n",
      "    931  \u001b[36m5190.4291\u001b[0m  \u001b[32m28545107.7161\u001b[0m  \u001b[35m26940555.2500\u001b[0m  0.0424\n",
      "    932  \u001b[36m5190.3273\u001b[0m  \u001b[32m28539647.7448\u001b[0m  \u001b[35m26939498.5417\u001b[0m  0.0316\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.001, module__activation=ELU(alpha=1.0), module__dropout=0, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=18, module__n_hidden_neurons_3=9, module__n_hidden_neurons_4=5; total time=  34.6s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7853.3262\u001b[0m  \u001b[32m246707317.2500\u001b[0m  \u001b[35m61674728.0000\u001b[0m  0.0378\n",
      "      2  \u001b[36m7853.3162\u001b[0m  246708429.8333  \u001b[35m61674579.6667\u001b[0m  0.0352\n",
      "      3  \u001b[36m7853.3063\u001b[0m  \u001b[32m246707311.7500\u001b[0m  \u001b[35m61674420.6667\u001b[0m  0.0364\n",
      "      4  \u001b[36m7853.2956\u001b[0m  \u001b[32m246706289.5833\u001b[0m  \u001b[35m61674245.6667\u001b[0m  0.0306\n",
      "      5  \u001b[36m7853.2826\u001b[0m  246707144.5000  \u001b[35m61674050.0000\u001b[0m  0.0370\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.0001, module__activation=LeakyReLU(negative_slope=0.01), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.6493\u001b[0m  \u001b[32m252370516.6667\u001b[0m  \u001b[35m223282777.3333\u001b[0m  0.0333\n",
      "      2  \u001b[36m14942.6466\u001b[0m  \u001b[32m252370410.0833\u001b[0m  \u001b[35m223282701.3333\u001b[0m  0.0318\n",
      "      3  \u001b[36m14942.6445\u001b[0m  \u001b[32m252370099.0833\u001b[0m  \u001b[35m223282620.3333\u001b[0m  0.0306\n",
      "      4  \u001b[36m14942.6418\u001b[0m  \u001b[32m252370053.0000\u001b[0m  \u001b[35m223282536.6667\u001b[0m  0.0312\n",
      "      5  \u001b[36m14942.6381\u001b[0m  252370102.5833  \u001b[35m223282440.0000\u001b[0m  0.0409\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.0001, module__activation=LeakyReLU(negative_slope=0.01), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.5476\u001b[0m  \u001b[32m199125011.4167\u001b[0m  \u001b[35m223279714.6667\u001b[0m  0.0319\n",
      "      2  \u001b[36m14942.5438\u001b[0m  199125070.7917  \u001b[35m223279604.6667\u001b[0m  0.0319\n",
      "      3  \u001b[36m14942.5395\u001b[0m  \u001b[32m199124466.5000\u001b[0m  \u001b[35m223279484.3333\u001b[0m  0.0326\n",
      "      4  \u001b[36m14942.5369\u001b[0m  199124566.6250  \u001b[35m223279392.6667\u001b[0m  0.0369\n",
      "      5  \u001b[36m14942.5326\u001b[0m  \u001b[32m199124274.2500\u001b[0m  \u001b[35m223279280.0000\u001b[0m  0.0310\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.0001, module__activation=LeakyReLU(negative_slope=0.01), module__dropout=0.5, module__n_hidden_neurons_1=25, module__n_hidden_neurons_2=10, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=7; total time=   0.2s\n",
      "  epoch       RMSE      train_loss     valid_loss     dur\n",
      "-------  ---------  --------------  -------------  ------\n",
      "      1  \u001b[36m7852.9342\u001b[0m  \u001b[32m246697684.2500\u001b[0m  \u001b[35m61668573.6667\u001b[0m  0.0321\n",
      "      2  \u001b[36m7852.9151\u001b[0m  \u001b[32m246697387.5417\u001b[0m  \u001b[35m61668279.6667\u001b[0m  0.0308\n",
      "      3  \u001b[36m7852.8968\u001b[0m  \u001b[32m246696640.7917\u001b[0m  \u001b[35m61667986.3333\u001b[0m  0.0317\n",
      "      4  \u001b[36m7852.8769\u001b[0m  \u001b[32m246696183.7917\u001b[0m  \u001b[35m61667675.6667\u001b[0m  0.0478\n",
      "      5  \u001b[36m7852.8555\u001b[0m  \u001b[32m246695208.3750\u001b[0m  \u001b[35m61667338.0000\u001b[0m  0.0300\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 1/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0.2, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=14, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.7425\u001b[0m  \u001b[32m252373423.2500\u001b[0m  \u001b[35m223285536.6667\u001b[0m  0.0399\n",
      "      2  \u001b[36m14942.7253\u001b[0m  \u001b[32m252372549.2500\u001b[0m  \u001b[35m223285046.0000\u001b[0m  0.0379\n",
      "      3  \u001b[36m14942.7109\u001b[0m  \u001b[32m252372500.2917\u001b[0m  \u001b[35m223284600.0000\u001b[0m  0.0399\n",
      "      4  \u001b[36m14942.6953\u001b[0m  \u001b[32m252372024.9583\u001b[0m  \u001b[35m223284128.3333\u001b[0m  0.0401\n",
      "      5  \u001b[36m14942.6809\u001b[0m  \u001b[32m252371650.2500\u001b[0m  \u001b[35m223283700.6667\u001b[0m  0.0403\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 2/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0.2, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=14, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   0.3s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m14942.1583\u001b[0m  \u001b[32m199114120.2083\u001b[0m  \u001b[35m223268093.0000\u001b[0m  0.0317\n",
      "      2  \u001b[36m14942.1471\u001b[0m  \u001b[32m199113405.6667\u001b[0m  \u001b[35m223267749.3333\u001b[0m  0.0303\n",
      "      3  \u001b[36m14942.1343\u001b[0m  \u001b[32m199113227.8750\u001b[0m  \u001b[35m223267371.6667\u001b[0m  0.0308\n",
      "      4  \u001b[36m14942.1225\u001b[0m  \u001b[32m199113214.5000\u001b[0m  \u001b[35m223267040.0000\u001b[0m  0.0391\n",
      "      5  \u001b[36m14942.1096\u001b[0m  \u001b[32m199112145.0833\u001b[0m  \u001b[35m223266636.0000\u001b[0m  0.0315\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n",
      "[CV 3/3] END lr=0.0001, module__activation=ELU(alpha=1.0), module__dropout=0.2, module__n_hidden_neurons_1=20, module__n_hidden_neurons_2=14, module__n_hidden_neurons_3=12, module__n_hidden_neurons_4=3; total time=   0.2s\n",
      "  epoch        RMSE      train_loss      valid_loss     dur\n",
      "-------  ----------  --------------  --------------  ------\n",
      "      1  \u001b[36m16116.5331\u001b[0m  \u001b[32m210147467.3889\u001b[0m  \u001b[35m259742621.3333\u001b[0m  0.0528\n",
      "      2  \u001b[36m16115.4793\u001b[0m  \u001b[32m210130887.6944\u001b[0m  \u001b[35m259708694.4444\u001b[0m  0.0491\n",
      "      3  \u001b[36m16110.4880\u001b[0m  \u001b[32m210055534.6111\u001b[0m  \u001b[35m259547788.4444\u001b[0m  0.0501\n",
      "      4  \u001b[36m16091.3895\u001b[0m  \u001b[32m209738872.6944\u001b[0m  \u001b[35m258932823.1111\u001b[0m  0.0465\n",
      "      5  \u001b[36m16033.5623\u001b[0m  \u001b[32m208686434.4167\u001b[0m  \u001b[35m257075120.0000\u001b[0m  0.0454\n",
      "      6  \u001b[36m15891.2892\u001b[0m  \u001b[32m205883023.1667\u001b[0m  \u001b[35m252533070.6667\u001b[0m  0.0456\n",
      "      7  \u001b[36m15598.3763\u001b[0m  \u001b[32m199755581.3889\u001b[0m  \u001b[35m243309322.3333\u001b[0m  0.0537\n",
      "      8  \u001b[36m15088.6066\u001b[0m  \u001b[32m188643948.6944\u001b[0m  \u001b[35m227666046.0000\u001b[0m  0.0506\n",
      "      9  \u001b[36m14353.9107\u001b[0m  \u001b[32m172231942.9549\u001b[0m  \u001b[35m206034745.8889\u001b[0m  0.0548\n",
      "     10  \u001b[36m13520.8526\u001b[0m  \u001b[32m153512765.9983\u001b[0m  \u001b[35m182813441.4444\u001b[0m  0.0470\n",
      "     11  \u001b[36m12791.3177\u001b[0m  \u001b[32m137897607.4306\u001b[0m  \u001b[35m163617813.1111\u001b[0m  0.0511\n",
      "     12  \u001b[36m12228.7380\u001b[0m  \u001b[32m127420544.8889\u001b[0m  \u001b[35m149542048.2778\u001b[0m  0.0504\n",
      "     13  \u001b[36m11786.2998\u001b[0m  \u001b[32m120110433.3333\u001b[0m  \u001b[35m138916862.6667\u001b[0m  0.0489\n",
      "     14  \u001b[36m11417.8944\u001b[0m  \u001b[32m114337152.1944\u001b[0m  \u001b[35m130368308.1111\u001b[0m  0.0465\n",
      "     15  \u001b[36m11094.6665\u001b[0m  \u001b[32m109402931.4167\u001b[0m  \u001b[35m123091635.8889\u001b[0m  0.0422\n",
      "     16  \u001b[36m10799.4889\u001b[0m  \u001b[32m104994839.8889\u001b[0m  \u001b[35m116628965.5556\u001b[0m  0.0430\n",
      "     17  \u001b[36m10526.9832\u001b[0m  \u001b[32m101006284.0833\u001b[0m  \u001b[35m110817365.2778\u001b[0m  0.0446\n",
      "     18  \u001b[36m10276.5730\u001b[0m  \u001b[32m97442322.7639\u001b[0m  \u001b[35m105607948.3056\u001b[0m  0.0456\n",
      "     19  \u001b[36m10048.4160\u001b[0m  \u001b[32m94320077.1111\u001b[0m  \u001b[35m100970656.1111\u001b[0m  0.0576\n",
      "     20  \u001b[36m9840.5207\u001b[0m  \u001b[32m91563031.3889\u001b[0m  \u001b[35m96835849.5556\u001b[0m  0.0449\n",
      "     21  \u001b[36m9646.7673\u001b[0m  \u001b[32m89004585.9722\u001b[0m  \u001b[35m93060117.4306\u001b[0m  0.0542\n",
      "     22  \u001b[36m9451.6513\u001b[0m  \u001b[32m86359207.6111\u001b[0m  \u001b[35m89333719.7917\u001b[0m  0.0465\n",
      "     23  \u001b[36m9253.1659\u001b[0m  \u001b[32m83454890.8194\u001b[0m  \u001b[35m85621071.5833\u001b[0m  0.0445\n",
      "     24  \u001b[36m9060.6053\u001b[0m  \u001b[32m80715543.4028\u001b[0m  \u001b[35m82094562.7778\u001b[0m  0.0442\n",
      "     25  \u001b[36m8875.6683\u001b[0m  \u001b[32m78150239.1944\u001b[0m  \u001b[35m78777478.0417\u001b[0m  0.0494\n",
      "     26  \u001b[36m8699.0606\u001b[0m  \u001b[32m75733300.6111\u001b[0m  \u001b[35m75673659.1667\u001b[0m  0.0518\n",
      "     27  \u001b[36m8530.1034\u001b[0m  \u001b[32m73459962.0347\u001b[0m  \u001b[35m72762665.8333\u001b[0m  0.0434\n",
      "     28  \u001b[36m8367.3422\u001b[0m  \u001b[32m71327878.2708\u001b[0m  \u001b[35m70012417.1528\u001b[0m  0.0496\n",
      "     29  \u001b[36m8210.8212\u001b[0m  \u001b[32m69337498.9792\u001b[0m  \u001b[35m67417588.0278\u001b[0m  0.0446\n",
      "     30  \u001b[36m8060.7771\u001b[0m  \u001b[32m67483854.1736\u001b[0m  \u001b[35m64976136.5556\u001b[0m  0.0521\n",
      "     31  \u001b[36m7917.1401\u001b[0m  \u001b[32m65749982.2222\u001b[0m  \u001b[35m62681111.2500\u001b[0m  0.0434\n",
      "     32  \u001b[36m7779.5766\u001b[0m  \u001b[32m64119096.5556\u001b[0m  \u001b[35m60521810.5278\u001b[0m  0.0441\n",
      "     33  \u001b[36m7647.6540\u001b[0m  \u001b[32m62575574.1458\u001b[0m  \u001b[35m58486609.0278\u001b[0m  0.0453\n",
      "     34  \u001b[36m7520.8356\u001b[0m  \u001b[32m61105948.5625\u001b[0m  \u001b[35m56562969.0556\u001b[0m  0.0434\n",
      "     35  \u001b[36m7398.6374\u001b[0m  \u001b[32m59701205.1875\u001b[0m  \u001b[35m54739841.0000\u001b[0m  0.0440\n",
      "     36  \u001b[36m7280.6860\u001b[0m  \u001b[32m58354383.1806\u001b[0m  \u001b[35m53008387.6111\u001b[0m  0.0430\n",
      "     37  \u001b[36m7166.6824\u001b[0m  \u001b[32m57061179.1458\u001b[0m  \u001b[35m51361333.5556\u001b[0m  0.0484\n",
      "     38  \u001b[36m7056.4300\u001b[0m  \u001b[32m55818662.7222\u001b[0m  \u001b[35m49793201.0278\u001b[0m  0.0429\n",
      "     39  \u001b[36m6949.8066\u001b[0m  \u001b[32m54624958.5278\u001b[0m  \u001b[35m48299812.3333\u001b[0m  0.0486\n",
      "     40  \u001b[36m6846.7522\u001b[0m  \u001b[32m53478856.6597\u001b[0m  \u001b[35m46878020.1389\u001b[0m  0.0425\n",
      "     41  \u001b[36m6747.2522\u001b[0m  \u001b[32m52379616.0417\u001b[0m  \u001b[35m45525413.4444\u001b[0m  0.0509\n",
      "     42  \u001b[36m6651.3145\u001b[0m  \u001b[32m51326883.3889\u001b[0m  \u001b[35m44239983.6111\u001b[0m  0.0479\n",
      "     43  \u001b[36m6558.9481\u001b[0m  \u001b[32m50320328.5000\u001b[0m  \u001b[35m43019806.7222\u001b[0m  0.0490\n",
      "     44  \u001b[36m6470.1988\u001b[0m  \u001b[32m49359495.7639\u001b[0m  \u001b[35m41863471.5000\u001b[0m  0.0496\n",
      "     45  \u001b[36m6385.1146\u001b[0m  \u001b[32m48444098.1806\u001b[0m  \u001b[35m40769687.6111\u001b[0m  0.0553\n",
      "     46  \u001b[36m6303.7322\u001b[0m  \u001b[32m47573557.7639\u001b[0m  \u001b[35m39737041.1111\u001b[0m  0.0443\n",
      "     47  \u001b[36m6226.0922\u001b[0m  \u001b[32m46747366.2014\u001b[0m  \u001b[35m38764219.8611\u001b[0m  0.0496\n",
      "     48  \u001b[36m6152.2133\u001b[0m  \u001b[32m45965338.4792\u001b[0m  \u001b[35m37849730.8611\u001b[0m  0.0441\n",
      "     49  \u001b[36m6082.1460\u001b[0m  \u001b[32m45228222.5451\u001b[0m  \u001b[35m36992497.7778\u001b[0m  0.0486\n",
      "     50  \u001b[36m6015.9734\u001b[0m  \u001b[32m44538133.0243\u001b[0m  \u001b[35m36191940.0278\u001b[0m  0.0433\n",
      "     51  \u001b[36m5953.8495\u001b[0m  \u001b[32m43899174.1736\u001b[0m  \u001b[35m35448317.3056\u001b[0m  0.0493\n",
      "     52  \u001b[36m5896.1353\u001b[0m  \u001b[32m43315700.0104\u001b[0m  \u001b[35m34764412.1389\u001b[0m  0.0445\n",
      "     53  \u001b[36m5843.0564\u001b[0m  \u001b[32m42788475.3160\u001b[0m  \u001b[35m34141309.6944\u001b[0m  0.0500\n",
      "     54  \u001b[36m5794.5064\u001b[0m  \u001b[32m42314190.7812\u001b[0m  \u001b[35m33576303.5278\u001b[0m  0.0441\n",
      "     55  \u001b[36m5750.2652\u001b[0m  \u001b[32m41888604.2639\u001b[0m  \u001b[35m33065548.6389\u001b[0m  0.0495\n",
      "     56  \u001b[36m5710.2158\u001b[0m  \u001b[32m41507959.6562\u001b[0m  \u001b[35m32606563.4444\u001b[0m  0.0453\n",
      "     57  \u001b[36m5674.1272\u001b[0m  \u001b[32m41167447.6111\u001b[0m  \u001b[35m32195720.5000\u001b[0m  0.0500\n",
      "     58  \u001b[36m5641.5976\u001b[0m  \u001b[32m40861460.6181\u001b[0m  \u001b[35m31827626.2222\u001b[0m  0.0459\n",
      "     59  \u001b[36m5612.2514\u001b[0m  \u001b[32m40584504.5139\u001b[0m  \u001b[35m31497366.5833\u001b[0m  0.0494\n",
      "     60  \u001b[36m5585.7288\u001b[0m  \u001b[32m40332315.9132\u001b[0m  \u001b[35m31200362.4444\u001b[0m  0.0445\n",
      "     61  \u001b[36m5561.6979\u001b[0m  \u001b[32m40101514.7014\u001b[0m  \u001b[35m30932483.5000\u001b[0m  0.0492\n",
      "     62  \u001b[36m5539.8616\u001b[0m  \u001b[32m39888956.7083\u001b[0m  \u001b[35m30690062.9444\u001b[0m  0.0450\n",
      "     63  \u001b[36m5519.9645\u001b[0m  \u001b[32m39692687.2066\u001b[0m  \u001b[35m30470009.4167\u001b[0m  0.0498\n",
      "     64  \u001b[36m5501.7793\u001b[0m  \u001b[32m39511676.3090\u001b[0m  \u001b[35m30269576.3056\u001b[0m  0.0437\n",
      "     65  \u001b[36m5485.1634\u001b[0m  \u001b[32m39344665.5139\u001b[0m  \u001b[35m30087019.7222\u001b[0m  0.0509\n",
      "     66  \u001b[36m5470.0000\u001b[0m  \u001b[32m39190160.1319\u001b[0m  \u001b[35m29920901.6389\u001b[0m  0.0441\n",
      "     67  \u001b[36m5456.1419\u001b[0m  \u001b[32m39046436.3819\u001b[0m  \u001b[35m29769487.4444\u001b[0m  0.0462\n",
      "     68  \u001b[36m5443.4463\u001b[0m  \u001b[32m38912393.1528\u001b[0m  \u001b[35m29631107.4722\u001b[0m  0.0460\n",
      "     69  \u001b[36m5431.7964\u001b[0m  \u001b[32m38787371.4410\u001b[0m  \u001b[35m29504411.8056\u001b[0m  0.0510\n",
      "     70  \u001b[36m5421.0827\u001b[0m  \u001b[32m38670269.2535\u001b[0m  \u001b[35m29388139.1111\u001b[0m  0.0470\n",
      "     71  \u001b[36m5411.2087\u001b[0m  \u001b[32m38560186.6910\u001b[0m  \u001b[35m29281180.3889\u001b[0m  0.0493\n",
      "     72  \u001b[36m5402.0911\u001b[0m  \u001b[32m38456513.5139\u001b[0m  \u001b[35m29182590.4722\u001b[0m  0.0428\n",
      "     73  \u001b[36m5393.6642\u001b[0m  \u001b[32m38358834.3733\u001b[0m  \u001b[35m29091612.9444\u001b[0m  0.0441\n",
      "     74  \u001b[36m5385.8970\u001b[0m  \u001b[32m38266596.1285\u001b[0m  \u001b[35m29007885.8056\u001b[0m  0.0439\n",
      "     75  \u001b[36m5378.7367\u001b[0m  \u001b[32m38179204.1319\u001b[0m  \u001b[35m28930805.4444\u001b[0m  0.0487\n",
      "     76  \u001b[36m5372.1117\u001b[0m  \u001b[32m38096060.5417\u001b[0m  \u001b[35m28859584.6111\u001b[0m  0.0426\n",
      "     77  \u001b[36m5365.9698\u001b[0m  \u001b[32m38016690.6024\u001b[0m  \u001b[35m28793631.0000\u001b[0m  0.0476\n",
      "     78  \u001b[36m5360.2621\u001b[0m  \u001b[32m37940646.1024\u001b[0m  \u001b[35m28732411.6667\u001b[0m  0.0436\n",
      "     79  \u001b[36m5354.9431\u001b[0m  \u001b[32m37867577.7049\u001b[0m  \u001b[35m28675419.2778\u001b[0m  0.0433\n",
      "     80  \u001b[36m5349.9720\u001b[0m  \u001b[32m37797218.5382\u001b[0m  \u001b[35m28622201.6111\u001b[0m  0.0436\n",
      "     81  \u001b[36m5345.3114\u001b[0m  \u001b[32m37729373.1302\u001b[0m  \u001b[35m28572355.5000\u001b[0m  0.0427\n",
      "     82  \u001b[36m5340.9344\u001b[0m  \u001b[32m37663867.2205\u001b[0m  \u001b[35m28525576.8056\u001b[0m  0.0501\n",
      "     83  \u001b[36m5336.8112\u001b[0m  \u001b[32m37600525.5191\u001b[0m  \u001b[35m28481553.8333\u001b[0m  0.0454\n",
      "     84  \u001b[36m5332.9249\u001b[0m  \u001b[32m37539184.8542\u001b[0m  \u001b[35m28440087.8611\u001b[0m  0.0494\n",
      "     85  \u001b[36m5329.2542\u001b[0m  \u001b[32m37479713.7326\u001b[0m  \u001b[35m28400949.0000\u001b[0m  0.0440\n",
      "     86  \u001b[36m5325.7816\u001b[0m  \u001b[32m37422002.0938\u001b[0m  \u001b[35m28363946.9722\u001b[0m  0.0496\n",
      "     87  \u001b[36m5322.4940\u001b[0m  \u001b[32m37365968.6458\u001b[0m  \u001b[35m28328944.8333\u001b[0m  0.0447\n",
      "     88  \u001b[36m5319.3759\u001b[0m  \u001b[32m37311505.8212\u001b[0m  \u001b[35m28295760.0833\u001b[0m  0.0491\n",
      "     89  \u001b[36m5316.4138\u001b[0m  \u001b[32m37258536.3681\u001b[0m  \u001b[35m28264255.3056\u001b[0m  0.0461\n",
      "     90  \u001b[36m5313.5980\u001b[0m  \u001b[32m37206988.6337\u001b[0m  \u001b[35m28234324.3611\u001b[0m  0.0547\n",
      "     91  \u001b[36m5310.9157\u001b[0m  \u001b[32m37156796.2413\u001b[0m  \u001b[35m28205826.7778\u001b[0m  0.0497\n",
      "     92  \u001b[36m5308.3561\u001b[0m  \u001b[32m37107879.5764\u001b[0m  \u001b[35m28178644.0556\u001b[0m  0.0476\n",
      "     93  \u001b[36m5305.9054\u001b[0m  \u001b[32m37060170.4444\u001b[0m  \u001b[35m28152630.8889\u001b[0m  0.0444\n",
      "     94  \u001b[36m5303.5579\u001b[0m  \u001b[32m37013590.4861\u001b[0m  \u001b[35m28127725.9167\u001b[0m  0.0529\n",
      "     95  \u001b[36m5301.3034\u001b[0m  \u001b[32m36968044.2326\u001b[0m  \u001b[35m28103819.1389\u001b[0m  0.0450\n",
      "     96  \u001b[36m5299.1339\u001b[0m  \u001b[32m36923498.9601\u001b[0m  \u001b[35m28080822.6667\u001b[0m  0.0506\n",
      "     97  \u001b[36m5297.0456\u001b[0m  \u001b[32m36879917.5955\u001b[0m  \u001b[35m28058692.1111\u001b[0m  0.0475\n",
      "     98  \u001b[36m5295.0324\u001b[0m  \u001b[32m36837275.8854\u001b[0m  \u001b[35m28037368.3333\u001b[0m  0.0455\n",
      "     99  \u001b[36m5293.0891\u001b[0m  \u001b[32m36795531.1667\u001b[0m  \u001b[35m28016793.2500\u001b[0m  0.0452\n",
      "    100  \u001b[36m5291.2125\u001b[0m  \u001b[32m36754652.5694\u001b[0m  \u001b[35m27996927.6944\u001b[0m  0.0503\n",
      "    101  \u001b[36m5289.3977\u001b[0m  \u001b[32m36714608.7986\u001b[0m  \u001b[35m27977727.5278\u001b[0m  0.0450\n",
      "    102  \u001b[36m5287.6409\u001b[0m  \u001b[32m36675366.1615\u001b[0m  \u001b[35m27959147.6389\u001b[0m  0.0479\n",
      "    103  \u001b[36m5285.9398\u001b[0m  \u001b[32m36636890.0434\u001b[0m  \u001b[35m27941160.8889\u001b[0m  0.0448\n",
      "    104  \u001b[36m5284.2895\u001b[0m  \u001b[32m36599102.7708\u001b[0m  \u001b[35m27923716.8611\u001b[0m  0.0503\n",
      "    105  \u001b[36m5282.6834\u001b[0m  \u001b[32m36561918.1319\u001b[0m  \u001b[35m27906741.8333\u001b[0m  0.0481\n",
      "    106  \u001b[36m5281.1063\u001b[0m  \u001b[32m36525239.1632\u001b[0m  \u001b[35m27890084.2500\u001b[0m  0.0493\n",
      "    107  \u001b[36m5279.5517\u001b[0m  \u001b[32m36488996.9375\u001b[0m  \u001b[35m27873663.0833\u001b[0m  0.0455\n",
      "    108  \u001b[36m5278.0095\u001b[0m  \u001b[32m36453108.0608\u001b[0m  \u001b[35m27857381.1667\u001b[0m  0.0503\n",
      "    109  \u001b[36m5276.4672\u001b[0m  \u001b[32m36417466.4045\u001b[0m  \u001b[35m27841102.3889\u001b[0m  0.0448\n",
      "    110  \u001b[36m5274.9083\u001b[0m  \u001b[32m36381914.7760\u001b[0m  \u001b[35m27824655.6667\u001b[0m  0.0524\n",
      "    111  \u001b[36m5273.3079\u001b[0m  \u001b[32m36346220.4323\u001b[0m  \u001b[35m27807775.8611\u001b[0m  0.0447\n",
      "    112  \u001b[36m5271.6220\u001b[0m  \u001b[32m36309990.0469\u001b[0m  \u001b[35m27789999.5556\u001b[0m  0.0501\n",
      "    113  \u001b[36m5269.7744\u001b[0m  \u001b[32m36272572.3889\u001b[0m  \u001b[35m27770520.0000\u001b[0m  0.0444\n",
      "    114  \u001b[36m5267.6181\u001b[0m  \u001b[32m36232807.6493\u001b[0m  \u001b[35m27747798.6111\u001b[0m  0.0455\n",
      "    115  \u001b[36m5264.9068\u001b[0m  \u001b[32m36188735.1892\u001b[0m  \u001b[35m27719245.5556\u001b[0m  0.0421\n",
      "    116  \u001b[36m5261.4017\u001b[0m  \u001b[32m36138161.1354\u001b[0m  \u001b[35m27682348.8889\u001b[0m  0.0508\n",
      "    117  \u001b[36m5257.6626\u001b[0m  \u001b[32m36083975.4236\u001b[0m  \u001b[35m27643018.7222\u001b[0m  0.0433\n",
      "    118  \u001b[36m5255.0395\u001b[0m  \u001b[32m36037329.6424\u001b[0m  \u001b[35m27615441.8333\u001b[0m  0.0512\n",
      "    119  \u001b[36m5253.5186\u001b[0m  \u001b[32m35996538.8924\u001b[0m  \u001b[35m27599454.7500\u001b[0m  0.0442\n",
      "    120  \u001b[36m5252.5550\u001b[0m  \u001b[32m35955677.1806\u001b[0m  \u001b[35m27589333.8611\u001b[0m  0.0439\n",
      "    121  \u001b[36m5251.8168\u001b[0m  \u001b[32m35915313.7170\u001b[0m  \u001b[35m27581581.5556\u001b[0m  0.0424\n",
      "    122  \u001b[36m5251.1317\u001b[0m  \u001b[32m35875627.1736\u001b[0m  \u001b[35m27574385.6667\u001b[0m  0.0491\n",
      "    123  \u001b[36m5250.4221\u001b[0m  \u001b[32m35836610.9236\u001b[0m  \u001b[35m27566930.6667\u001b[0m  0.0446\n",
      "    124  \u001b[36m5249.6545\u001b[0m  \u001b[32m35798225.8003\u001b[0m  \u001b[35m27558870.2778\u001b[0m  0.0502\n",
      "    125  \u001b[36m5248.8220\u001b[0m  \u001b[32m35760430.6701\u001b[0m  \u001b[35m27550131.7222\u001b[0m  0.0422\n",
      "    126  \u001b[36m5247.9257\u001b[0m  \u001b[32m35723208.2292\u001b[0m  \u001b[35m27540723.1944\u001b[0m  0.0539\n",
      "    127  \u001b[36m5246.9706\u001b[0m  \u001b[32m35686525.0590\u001b[0m  \u001b[35m27530702.7778\u001b[0m  0.0442\n",
      "    128  \u001b[36m5245.9670\u001b[0m  \u001b[32m35650371.7361\u001b[0m  \u001b[35m27520170.5000\u001b[0m  0.0492\n",
      "    129  \u001b[36m5244.9236\u001b[0m  \u001b[32m35614733.2656\u001b[0m  \u001b[35m27509224.9722\u001b[0m  0.0424\n",
      "    130  \u001b[36m5243.8493\u001b[0m  \u001b[32m35579596.4080\u001b[0m  \u001b[35m27497953.2222\u001b[0m  0.0453\n",
      "    131  \u001b[36m5242.7483\u001b[0m  \u001b[32m35544949.6719\u001b[0m  \u001b[35m27486411.4444\u001b[0m  0.0470\n",
      "    132  \u001b[36m5241.6284\u001b[0m  \u001b[32m35510785.3750\u001b[0m  \u001b[35m27474667.5000\u001b[0m  0.0515\n",
      "    133  \u001b[36m5240.4914\u001b[0m  \u001b[32m35477094.3177\u001b[0m  \u001b[35m27462751.2778\u001b[0m  0.0487\n",
      "    134  \u001b[36m5239.3412\u001b[0m  \u001b[32m35443866.0208\u001b[0m  \u001b[35m27450695.8889\u001b[0m  0.0474\n",
      "    135  \u001b[36m5238.1779\u001b[0m  \u001b[32m35411091.3941\u001b[0m  \u001b[35m27438509.3889\u001b[0m  0.0538\n",
      "    136  \u001b[36m5237.0049\u001b[0m  \u001b[32m35378759.6215\u001b[0m  \u001b[35m27426219.4444\u001b[0m  0.0530\n",
      "    137  \u001b[36m5235.8212\u001b[0m  \u001b[32m35346861.0972\u001b[0m  \u001b[35m27413822.6667\u001b[0m  0.0485\n",
      "    138  \u001b[36m5234.6263\u001b[0m  \u001b[32m35315378.7656\u001b[0m  \u001b[35m27401313.9167\u001b[0m  0.0528\n",
      "    139  \u001b[36m5233.4182\u001b[0m  \u001b[32m35284294.6632\u001b[0m  \u001b[35m27388664.6111\u001b[0m  0.0475\n",
      "    140  \u001b[36m5232.1961\u001b[0m  \u001b[32m35253594.7760\u001b[0m  \u001b[35m27375876.3056\u001b[0m  0.0557\n",
      "    141  \u001b[36m5230.9563\u001b[0m  \u001b[32m35223255.5764\u001b[0m  \u001b[35m27362905.3889\u001b[0m  0.0470\n",
      "    142  \u001b[36m5229.6969\u001b[0m  \u001b[32m35193259.8611\u001b[0m  \u001b[35m27349729.5556\u001b[0m  0.0522\n",
      "    143  \u001b[36m5228.4149\u001b[0m  \u001b[32m35163568.9236\u001b[0m  \u001b[35m27336319.7222\u001b[0m  0.0478\n",
      "    144  \u001b[36m5227.1042\u001b[0m  \u001b[32m35134039.8403\u001b[0m  \u001b[35m27322617.8611\u001b[0m  0.0542\n",
      "    145  \u001b[36m5225.7579\u001b[0m  \u001b[32m35104603.9896\u001b[0m  \u001b[35m27308545.3333\u001b[0m  0.0469\n",
      "    146  \u001b[36m5224.3668\u001b[0m  \u001b[32m35075218.5729\u001b[0m  \u001b[35m27294007.9167\u001b[0m  0.0466\n",
      "    147  \u001b[36m5222.9229\u001b[0m  \u001b[32m35045761.3976\u001b[0m  \u001b[35m27278925.6944\u001b[0m  0.0526\n",
      "    148  \u001b[36m5221.4192\u001b[0m  \u001b[32m35016134.7361\u001b[0m  \u001b[35m27263216.9444\u001b[0m  0.0471\n",
      "    149  \u001b[36m5219.8492\u001b[0m  \u001b[32m34986307.2760\u001b[0m  \u001b[35m27246826.2222\u001b[0m  0.0511\n",
      "    150  \u001b[36m5218.2240\u001b[0m  \u001b[32m34956261.0017\u001b[0m  \u001b[35m27229860.8333\u001b[0m  0.0457\n",
      "    151  \u001b[36m5216.5456\u001b[0m  \u001b[32m34926102.3316\u001b[0m  \u001b[35m27212347.6944\u001b[0m  0.0433\n",
      "    152  \u001b[36m5214.8120\u001b[0m  \u001b[32m34896084.8681\u001b[0m  \u001b[35m27194265.2500\u001b[0m  0.0459\n",
      "    153  \u001b[36m5213.0317\u001b[0m  \u001b[32m34866446.0885\u001b[0m  \u001b[35m27175699.2222\u001b[0m  0.0450\n",
      "    154  \u001b[36m5211.2106\u001b[0m  \u001b[32m34837214.2309\u001b[0m  \u001b[35m27156715.0000\u001b[0m  0.0449\n",
      "    155  \u001b[36m5209.3585\u001b[0m  \u001b[32m34808312.2951\u001b[0m  \u001b[35m27137414.5000\u001b[0m  0.0425\n",
      "    156  \u001b[36m5207.5474\u001b[0m  \u001b[32m34779770.2483\u001b[0m  \u001b[35m27118547.3056\u001b[0m  0.0492\n",
      "    157  \u001b[36m5205.9312\u001b[0m  \u001b[32m34751911.0226\u001b[0m  \u001b[35m27101723.0278\u001b[0m  0.0443\n",
      "    158  \u001b[36m5204.5957\u001b[0m  \u001b[32m34725069.1545\u001b[0m  \u001b[35m27087816.3889\u001b[0m  0.0503\n",
      "    159  \u001b[36m5203.5288\u001b[0m  \u001b[32m34699346.0573\u001b[0m  \u001b[35m27076710.9444\u001b[0m  0.0457\n",
      "    160  \u001b[36m5202.6632\u001b[0m  \u001b[32m34674688.5677\u001b[0m  \u001b[35m27067706.0556\u001b[0m  0.0471\n",
      "    161  \u001b[36m5201.9254\u001b[0m  \u001b[32m34650979.4740\u001b[0m  \u001b[35m27060028.5556\u001b[0m  0.0447\n",
      "    162  \u001b[36m5201.2702\u001b[0m  \u001b[32m34628184.0556\u001b[0m  \u001b[35m27053212.7222\u001b[0m  0.0502\n",
      "    163  \u001b[36m5200.6726\u001b[0m  \u001b[32m34606245.5208\u001b[0m  \u001b[35m27046993.7222\u001b[0m  0.0464\n",
      "    164  \u001b[36m5200.1175\u001b[0m  \u001b[32m34585058.7031\u001b[0m  \u001b[35m27041219.8333\u001b[0m  0.0546\n",
      "    165  \u001b[36m5199.5931\u001b[0m  \u001b[32m34564550.7830\u001b[0m  \u001b[35m27035768.5556\u001b[0m  0.0470\n",
      "    166  \u001b[36m5199.0943\u001b[0m  \u001b[32m34544657.4167\u001b[0m  \u001b[35m27030580.7500\u001b[0m  0.0509\n",
      "    167  \u001b[36m5198.6139\u001b[0m  \u001b[32m34525301.5139\u001b[0m  \u001b[35m27025586.8333\u001b[0m  0.0451\n",
      "    168  \u001b[36m5198.1497\u001b[0m  \u001b[32m34506436.3802\u001b[0m  \u001b[35m27020760.2222\u001b[0m  0.0495\n",
      "    169  \u001b[36m5197.6989\u001b[0m  \u001b[32m34488016.9948\u001b[0m  \u001b[35m27016074.6389\u001b[0m  0.0437\n",
      "    170  \u001b[36m5197.2581\u001b[0m  \u001b[32m34470004.1597\u001b[0m  \u001b[35m27011490.0000\u001b[0m  0.0460\n",
      "    171  \u001b[36m5196.8244\u001b[0m  \u001b[32m34452360.4965\u001b[0m  \u001b[35m27006984.7778\u001b[0m  0.0484\n",
      "    172  \u001b[36m5196.3976\u001b[0m  \u001b[32m34435075.7500\u001b[0m  \u001b[35m27002547.3889\u001b[0m  0.0535\n",
      "    173  \u001b[36m5195.9761\u001b[0m  \u001b[32m34418113.6701\u001b[0m  \u001b[35m26998165.2222\u001b[0m  0.0446\n",
      "    174  \u001b[36m5195.5595\u001b[0m  \u001b[32m34401468.8142\u001b[0m  \u001b[35m26993838.3889\u001b[0m  0.0523\n",
      "    175  \u001b[36m5195.1474\u001b[0m  \u001b[32m34385112.4219\u001b[0m  \u001b[35m26989551.9167\u001b[0m  0.0452\n",
      "    176  \u001b[36m5194.7383\u001b[0m  \u001b[32m34369032.3472\u001b[0m  \u001b[35m26985305.1944\u001b[0m  0.0507\n",
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      "    717  \u001b[36m4772.4654\u001b[0m  \u001b[32m29677761.1181\u001b[0m  \u001b[35m22776427.3889\u001b[0m  0.0494\n",
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      "    732  \u001b[36m4759.2827\u001b[0m  \u001b[32m29571351.3073\u001b[0m  \u001b[35m22650772.0694\u001b[0m  0.0475\n",
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      "    783  \u001b[36m4713.2248\u001b[0m  \u001b[32m29195945.9523\u001b[0m  \u001b[35m22214488.5417\u001b[0m  0.0511\n",
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      "    833  \u001b[36m4666.0729\u001b[0m  \u001b[32m28795716.0035\u001b[0m  \u001b[35m21772233.9583\u001b[0m  0.0520\n",
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      "    853  \u001b[36m4646.7160\u001b[0m  \u001b[32m28622297.8672\u001b[0m  \u001b[35m21591969.3333\u001b[0m  0.0566\n",
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      "    880  \u001b[36m4620.7443\u001b[0m  \u001b[32m28378375.7214\u001b[0m  \u001b[35m21351276.2639\u001b[0m  0.0549\n",
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      "    893  \u001b[36m4608.3529\u001b[0m  \u001b[32m28259557.9470\u001b[0m  \u001b[35m21236916.2222\u001b[0m  0.0497\n",
      "    894  \u001b[36m4607.4079\u001b[0m  \u001b[32m28250352.4766\u001b[0m  \u001b[35m21228209.0694\u001b[0m  0.0497\n",
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      "    901  \u001b[36m4600.8630\u001b[0m  \u001b[32m28185527.3194\u001b[0m  \u001b[35m21167938.7917\u001b[0m  0.0489\n",
      "    902  \u001b[36m4599.9363\u001b[0m  \u001b[32m28176203.1450\u001b[0m  \u001b[35m21159415.1528\u001b[0m  0.0540\n",
      "    903  \u001b[36m4599.0129\u001b[0m  \u001b[32m28166862.5208\u001b[0m  \u001b[35m21150917.2569\u001b[0m  0.0492\n",
      "    904  \u001b[36m4598.0907\u001b[0m  \u001b[32m28157510.6823\u001b[0m  \u001b[35m21142438.4306\u001b[0m  0.0499\n",
      "    905  \u001b[36m4597.1707\u001b[0m  \u001b[32m28148137.5981\u001b[0m  \u001b[35m21133978.1806\u001b[0m  0.0530\n",
      "    906  \u001b[36m4596.2517\u001b[0m  \u001b[32m28138750.0773\u001b[0m  \u001b[35m21125530.7639\u001b[0m  0.0497\n",
      "    907  \u001b[36m4595.3363\u001b[0m  \u001b[32m28129346.1233\u001b[0m  \u001b[35m21117116.3194\u001b[0m  0.0546\n",
      "    908  \u001b[36m4594.4216\u001b[0m  \u001b[32m28119925.1050\u001b[0m  \u001b[35m21108708.5486\u001b[0m  0.0485\n",
      "    909  \u001b[36m4593.5072\u001b[0m  \u001b[32m28110489.9193\u001b[0m  \u001b[35m21100307.4375\u001b[0m  0.0522\n",
      "    910  \u001b[36m4592.5932\u001b[0m  \u001b[32m28101048.0434\u001b[0m  \u001b[35m21091911.0972\u001b[0m  0.0519\n",
      "    911  \u001b[36m4591.6783\u001b[0m  \u001b[32m28091587.8837\u001b[0m  \u001b[35m21083508.6528\u001b[0m  0.0558\n",
      "    912  \u001b[36m4590.7627\u001b[0m  \u001b[32m28082121.2795\u001b[0m  \u001b[35m21075101.2639\u001b[0m  0.0476\n",
      "    913  \u001b[36m4589.8436\u001b[0m  \u001b[32m28072645.4505\u001b[0m  \u001b[35m21066663.4375\u001b[0m  0.0540\n",
      "    914  \u001b[36m4588.9249\u001b[0m  \u001b[32m28063163.9306\u001b[0m  \u001b[35m21058234.4236\u001b[0m  0.0538\n",
      "    915  \u001b[36m4588.0061\u001b[0m  \u001b[32m28053670.5417\u001b[0m  \u001b[35m21049801.0972\u001b[0m  0.0540\n",
      "    916  \u001b[36m4587.0871\u001b[0m  \u001b[32m28044174.2969\u001b[0m  \u001b[35m21041369.7222\u001b[0m  0.0535\n",
      "    917  \u001b[36m4586.1657\u001b[0m  \u001b[32m28034662.7847\u001b[0m  \u001b[35m21032914.3472\u001b[0m  0.0510\n",
      "    918  \u001b[36m4585.2415\u001b[0m  \u001b[32m28025150.3359\u001b[0m  \u001b[35m21024438.9306\u001b[0m  0.0496\n",
      "    919  \u001b[36m4584.3163\u001b[0m  \u001b[32m28015636.7135\u001b[0m  \u001b[35m21015957.2222\u001b[0m  0.0505\n",
      "    920  \u001b[36m4583.3900\u001b[0m  \u001b[32m28006116.3863\u001b[0m  \u001b[35m21007464.5208\u001b[0m  0.0541\n",
      "    921  \u001b[36m4582.4620\u001b[0m  \u001b[32m27996594.9401\u001b[0m  \u001b[35m20998957.8958\u001b[0m  0.0502\n",
      "    922  \u001b[36m4581.5349\u001b[0m  \u001b[32m27987065.1554\u001b[0m  \u001b[35m20990461.6181\u001b[0m  0.0517\n",
      "    923  \u001b[36m4580.6074\u001b[0m  \u001b[32m27977529.2222\u001b[0m  \u001b[35m20981964.6250\u001b[0m  0.0506\n",
      "    924  \u001b[36m4579.6821\u001b[0m  \u001b[32m27967989.2205\u001b[0m  \u001b[35m20973486.9861\u001b[0m  0.0547\n",
      "    925  \u001b[36m4578.7564\u001b[0m  \u001b[32m27958431.8967\u001b[0m  \u001b[35m20965008.5833\u001b[0m  0.0501\n",
      "    926  \u001b[36m4577.8335\u001b[0m  \u001b[32m27948866.3160\u001b[0m  \u001b[35m20956560.2431\u001b[0m  0.0548\n",
      "    927  \u001b[36m4576.9134\u001b[0m  \u001b[32m27939284.6042\u001b[0m  \u001b[35m20948136.0000\u001b[0m  0.0497\n",
      "    928  \u001b[36m4575.9954\u001b[0m  \u001b[32m27929695.0503\u001b[0m  \u001b[35m20939731.9583\u001b[0m  0.0589\n",
      "    929  \u001b[36m4575.0788\u001b[0m  \u001b[32m27920080.0938\u001b[0m  \u001b[35m20931345.8056\u001b[0m  0.0623\n",
      "    930  \u001b[36m4574.1627\u001b[0m  \u001b[32m27910451.4392\u001b[0m  \u001b[35m20922962.0556\u001b[0m  0.0592\n",
      "    931  \u001b[36m4573.2494\u001b[0m  \u001b[32m27900807.2257\u001b[0m  \u001b[35m20914609.9444\u001b[0m  0.0700\n",
      "    932  \u001b[36m4572.3368\u001b[0m  \u001b[32m27891137.0269\u001b[0m  \u001b[35m20906264.8611\u001b[0m  0.0673\n",
      "    933  \u001b[36m4571.4263\u001b[0m  \u001b[32m27881454.8368\u001b[0m  \u001b[35m20897936.5417\u001b[0m  0.0497\n",
      "    934  \u001b[36m4570.5157\u001b[0m  \u001b[32m27871746.1198\u001b[0m  \u001b[35m20889615.2639\u001b[0m  0.0556\n",
      "    935  \u001b[36m4569.6109\u001b[0m  \u001b[32m27862027.9401\u001b[0m  \u001b[35m20881343.8611\u001b[0m  0.0482\n",
      "    936  \u001b[36m4568.7108\u001b[0m  \u001b[32m27852280.2222\u001b[0m  \u001b[35m20873117.3750\u001b[0m  0.0490\n",
      "    937  \u001b[36m4567.8139\u001b[0m  \u001b[32m27842503.4748\u001b[0m  \u001b[35m20864922.7014\u001b[0m  0.0496\n",
      "    938  \u001b[36m4566.9200\u001b[0m  \u001b[32m27832694.0425\u001b[0m  \u001b[35m20856758.2639\u001b[0m  0.0552\n",
      "    939  \u001b[36m4566.0302\u001b[0m  \u001b[32m27822856.7925\u001b[0m  \u001b[35m20848631.2222\u001b[0m  0.0479\n",
      "    940  \u001b[36m4565.1429\u001b[0m  \u001b[32m27812986.7951\u001b[0m  \u001b[35m20840530.1667\u001b[0m  0.0511\n",
      "    941  \u001b[36m4564.2585\u001b[0m  \u001b[32m27803089.0998\u001b[0m  \u001b[35m20832456.5694\u001b[0m  0.0543\n",
      "    942  \u001b[36m4563.3762\u001b[0m  \u001b[32m27793154.1806\u001b[0m  \u001b[35m20824400.8750\u001b[0m  0.0484\n",
      "    943  \u001b[36m4562.4943\u001b[0m  \u001b[32m27783189.7205\u001b[0m  \u001b[35m20816353.0417\u001b[0m  0.0539\n",
      "    944  \u001b[36m4561.6111\u001b[0m  \u001b[32m27773187.6528\u001b[0m  \u001b[35m20808297.4444\u001b[0m  0.0476\n",
      "    945  \u001b[36m4560.7274\u001b[0m  \u001b[32m27763154.4288\u001b[0m  \u001b[35m20800235.6111\u001b[0m  0.0491\n",
      "    946  \u001b[36m4559.8432\u001b[0m  \u001b[32m27753088.4358\u001b[0m  \u001b[35m20792171.6528\u001b[0m  0.0475\n",
      "    947  \u001b[36m4558.9582\u001b[0m  \u001b[32m27742986.3655\u001b[0m  \u001b[35m20784099.3125\u001b[0m  0.0564\n",
      "    948  \u001b[36m4558.0724\u001b[0m  \u001b[32m27732844.5200\u001b[0m  \u001b[35m20776026.9167\u001b[0m  0.0477\n",
      "    949  \u001b[36m4557.1862\u001b[0m  \u001b[32m27722670.6988\u001b[0m  \u001b[35m20767948.0347\u001b[0m  0.0550\n",
      "    950  \u001b[36m4556.2998\u001b[0m  \u001b[32m27712452.1259\u001b[0m  \u001b[35m20759869.7778\u001b[0m  0.0578\n",
      "    951  \u001b[36m4555.4124\u001b[0m  \u001b[32m27702197.3038\u001b[0m  \u001b[35m20751780.7778\u001b[0m  0.0548\n",
      "    952  \u001b[36m4554.5257\u001b[0m  \u001b[32m27691900.3628\u001b[0m  \u001b[35m20743703.7153\u001b[0m  0.0471\n",
      "    953  \u001b[36m4553.6368\u001b[0m  \u001b[32m27681564.4045\u001b[0m  \u001b[35m20735608.3750\u001b[0m  0.0483\n",
      "    954  \u001b[36m4552.7488\u001b[0m  \u001b[32m27671188.6198\u001b[0m  \u001b[35m20727519.4792\u001b[0m  0.0528\n",
      "    955  \u001b[36m4551.8598\u001b[0m  \u001b[32m27660768.5538\u001b[0m  \u001b[35m20719427.4583\u001b[0m  0.0470\n",
      "    956  \u001b[36m4550.9707\u001b[0m  \u001b[32m27650303.4392\u001b[0m  \u001b[35m20711335.0486\u001b[0m  0.0493\n",
      "    957  \u001b[36m4550.0800\u001b[0m  \u001b[32m27639796.4887\u001b[0m  \u001b[35m20703228.8403\u001b[0m  0.0480\n",
      "    958  \u001b[36m4549.1892\u001b[0m  \u001b[32m27629239.0677\u001b[0m  \u001b[35m20695122.6250\u001b[0m  0.0482\n",
      "    959  \u001b[36m4548.2984\u001b[0m  \u001b[32m27618640.9783\u001b[0m  \u001b[35m20687019.7708\u001b[0m  0.0465\n",
      "    960  \u001b[36m4547.4061\u001b[0m  \u001b[32m27607990.7708\u001b[0m  \u001b[35m20678899.9931\u001b[0m  0.0556\n",
      "    961  \u001b[36m4546.5129\u001b[0m  \u001b[32m27597297.9332\u001b[0m  \u001b[35m20670782.1042\u001b[0m  0.0597\n",
      "    962  \u001b[36m4545.6183\u001b[0m  \u001b[32m27586551.8872\u001b[0m  \u001b[35m20662643.2569\u001b[0m  0.0503\n",
      "    963  \u001b[36m4544.7222\u001b[0m  \u001b[32m27575763.6519\u001b[0m  \u001b[35m20654499.1875\u001b[0m  0.0498\n",
      "    964  \u001b[36m4543.8253\u001b[0m  \u001b[32m27564921.8906\u001b[0m  \u001b[35m20646348.1319\u001b[0m  0.0552\n",
      "    965  \u001b[36m4542.9279\u001b[0m  \u001b[32m27554030.8333\u001b[0m  \u001b[35m20638194.2153\u001b[0m  0.0509\n",
      "    966  \u001b[36m4542.0273\u001b[0m  \u001b[32m27543090.3950\u001b[0m  \u001b[35m20630012.8194\u001b[0m  0.0536\n",
      "    967  \u001b[36m4541.1278\u001b[0m  \u001b[32m27532096.4957\u001b[0m  \u001b[35m20621842.5000\u001b[0m  0.0509\n",
      "    968  \u001b[36m4540.2280\u001b[0m  \u001b[32m27521046.2231\u001b[0m  \u001b[35m20613669.6806\u001b[0m  0.0515\n",
      "    969  \u001b[36m4539.3262\u001b[0m  \u001b[32m27509950.1502\u001b[0m  \u001b[35m20605483.8056\u001b[0m  0.0464\n",
      "    970  \u001b[36m4538.4255\u001b[0m  \u001b[32m27498793.0443\u001b[0m  \u001b[35m20597306.4167\u001b[0m  0.0484\n",
      "    971  \u001b[36m4537.5240\u001b[0m  \u001b[32m27487579.5833\u001b[0m  \u001b[35m20589122.2569\u001b[0m  0.0522\n",
      "    972  \u001b[36m4536.6223\u001b[0m  \u001b[32m27476311.6536\u001b[0m  \u001b[35m20580942.7639\u001b[0m  0.0475\n",
      "    973  \u001b[36m4535.7202\u001b[0m  \u001b[32m27464984.9280\u001b[0m  \u001b[35m20572757.4583\u001b[0m  0.0565\n",
      "    974  \u001b[36m4534.8177\u001b[0m  \u001b[32m27453602.4427\u001b[0m  \u001b[35m20564571.7222\u001b[0m  0.0515\n",
      "    975  \u001b[36m4533.9157\u001b[0m  \u001b[32m27442162.5747\u001b[0m  \u001b[35m20556393.5694\u001b[0m  0.0549\n",
      "    976  \u001b[36m4533.0136\u001b[0m  \u001b[32m27430658.5304\u001b[0m  \u001b[35m20548210.6806\u001b[0m  0.0501\n",
      "    977  \u001b[36m4532.1136\u001b[0m  \u001b[32m27419099.3715\u001b[0m  \u001b[35m20540051.4028\u001b[0m  0.0598\n",
      "    978  \u001b[36m4531.2160\u001b[0m  \u001b[32m27407476.7083\u001b[0m  \u001b[35m20531917.0417\u001b[0m  0.0532\n",
      "    979  \u001b[36m4530.3216\u001b[0m  \u001b[32m27395785.3733\u001b[0m  \u001b[35m20523814.7500\u001b[0m  0.0634\n",
      "    980  \u001b[36m4529.4300\u001b[0m  \u001b[32m27384025.2543\u001b[0m  \u001b[35m20515734.4722\u001b[0m  0.0564\n",
      "    981  \u001b[36m4528.5397\u001b[0m  \u001b[32m27372195.4175\u001b[0m  \u001b[35m20507675.4583\u001b[0m  0.0496\n",
      "    982  \u001b[36m4527.6526\u001b[0m  \u001b[32m27360296.4991\u001b[0m  \u001b[35m20499637.4722\u001b[0m  0.0508\n",
      "    983  \u001b[36m4526.7668\u001b[0m  \u001b[32m27348330.4514\u001b[0m  \u001b[35m20491618.6042\u001b[0m  0.0502\n",
      "    984  \u001b[36m4525.8838\u001b[0m  \u001b[32m27336291.2569\u001b[0m  \u001b[35m20483625.3056\u001b[0m  0.0560\n",
      "    985  \u001b[36m4525.0028\u001b[0m  \u001b[32m27324178.4132\u001b[0m  \u001b[35m20475651.9583\u001b[0m  0.0525\n",
      "    986  \u001b[36m4524.1240\u001b[0m  \u001b[32m27311993.6198\u001b[0m  \u001b[35m20467697.1250\u001b[0m  0.0597\n",
      "    987  \u001b[36m4523.2473\u001b[0m  \u001b[32m27299738.1450\u001b[0m  \u001b[35m20459767.0486\u001b[0m  0.0515\n",
      "    988  \u001b[36m4522.3737\u001b[0m  \u001b[32m27287409.4792\u001b[0m  \u001b[35m20451861.5417\u001b[0m  0.0506\n",
      "    989  \u001b[36m4521.5020\u001b[0m  \u001b[32m27275004.2856\u001b[0m  \u001b[35m20443979.6597\u001b[0m  0.0552\n",
      "    990  \u001b[36m4520.6367\u001b[0m  \u001b[32m27262531.2578\u001b[0m  \u001b[35m20436158.4167\u001b[0m  0.0503\n",
      "    991  \u001b[36m4519.7794\u001b[0m  \u001b[32m27249964.0139\u001b[0m  \u001b[35m20428403.2222\u001b[0m  0.0510\n",
      "    992  \u001b[36m4518.9277\u001b[0m  \u001b[32m27237302.6849\u001b[0m  \u001b[35m20420706.9375\u001b[0m  0.0504\n",
      "    993  \u001b[36m4518.0808\u001b[0m  \u001b[32m27224533.6163\u001b[0m  \u001b[35m20413055.8194\u001b[0m  0.0590\n",
      "    994  \u001b[36m4517.2385\u001b[0m  \u001b[32m27211667.8307\u001b[0m  \u001b[35m20405444.3958\u001b[0m  0.0509\n",
      "    995  \u001b[36m4516.4021\u001b[0m  \u001b[32m27198695.9288\u001b[0m  \u001b[35m20397886.7778\u001b[0m  0.0540\n",
      "    996  \u001b[36m4515.5669\u001b[0m  \u001b[32m27185612.7804\u001b[0m  \u001b[35m20390344.0208\u001b[0m  0.0493\n",
      "    997  \u001b[36m4514.7339\u001b[0m  \u001b[32m27172424.5686\u001b[0m  \u001b[35m20382823.1042\u001b[0m  0.0504\n",
      "    998  \u001b[36m4513.9072\u001b[0m  \u001b[32m27159127.9896\u001b[0m  \u001b[35m20375356.9583\u001b[0m  0.0541\n",
      "    999  \u001b[36m4513.0854\u001b[0m  \u001b[32m27145707.7257\u001b[0m  \u001b[35m20367940.1806\u001b[0m  0.0489\n",
      "   1000  \u001b[36m4512.2739\u001b[0m  \u001b[32m27132174.9766\u001b[0m  \u001b[35m20360619.6319\u001b[0m  0.0546\n",
      "   1001  \u001b[36m4511.4787\u001b[0m  \u001b[32m27118519.7448\u001b[0m  \u001b[35m20353440.5903\u001b[0m  0.0493\n",
      "   1002  \u001b[36m4510.7075\u001b[0m  \u001b[32m27104716.5894\u001b[0m  \u001b[35m20346482.1806\u001b[0m  0.0593\n",
      "   1003  \u001b[36m4509.9703\u001b[0m  \u001b[32m27090750.4019\u001b[0m  \u001b[35m20339830.4861\u001b[0m  0.0503\n",
      "   1004  \u001b[36m4509.2815\u001b[0m  \u001b[32m27076595.2943\u001b[0m  \u001b[35m20333619.3889\u001b[0m  0.0577\n",
      "   1005  \u001b[36m4508.6610\u001b[0m  \u001b[32m27062202.9470\u001b[0m  \u001b[35m20328021.8056\u001b[0m  0.0529\n",
      "   1006  \u001b[36m4508.0974\u001b[0m  \u001b[32m27047425.3099\u001b[0m  \u001b[35m20322943.5903\u001b[0m  0.0562\n",
      "   1007  \u001b[36m4507.4316\u001b[0m  \u001b[32m27032229.1736\u001b[0m  \u001b[35m20316941.4861\u001b[0m  0.0550\n",
      "   1008  \u001b[36m4506.6611\u001b[0m  \u001b[32m27017293.5191\u001b[0m  \u001b[35m20309992.8611\u001b[0m  0.0504\n",
      "   1009  \u001b[36m4505.8402\u001b[0m  \u001b[32m27002530.9835\u001b[0m  \u001b[35m20302594.8472\u001b[0m  0.0558\n",
      "   1010  \u001b[36m4505.0236\u001b[0m  \u001b[32m26987881.9141\u001b[0m  \u001b[35m20295238.7292\u001b[0m  0.0483\n",
      "   1011  \u001b[36m4504.2231\u001b[0m  \u001b[32m26973239.4531\u001b[0m  \u001b[35m20288026.3889\u001b[0m  0.0502\n",
      "   1012  \u001b[36m4503.4391\u001b[0m  \u001b[32m26958541.1293\u001b[0m  \u001b[35m20280962.6944\u001b[0m  0.0496\n",
      "   1013  \u001b[36m4502.6699\u001b[0m  \u001b[32m26943775.3759\u001b[0m  \u001b[35m20274036.3403\u001b[0m  0.0565\n",
      "   1014  \u001b[36m4501.9163\u001b[0m  \u001b[32m26928927.2509\u001b[0m  \u001b[35m20267249.3056\u001b[0m  0.0501\n",
      "   1015  \u001b[36m4501.1730\u001b[0m  \u001b[32m26913974.9479\u001b[0m  \u001b[35m20260557.9306\u001b[0m  0.0562\n",
      "   1016  \u001b[36m4500.4466\u001b[0m  \u001b[32m26898913.3220\u001b[0m  \u001b[35m20254019.1042\u001b[0m  0.0496\n",
      "   1017  \u001b[36m4499.7395\u001b[0m  \u001b[32m26883723.6979\u001b[0m  \u001b[35m20247656.4722\u001b[0m  0.0493\n",
      "   1018  \u001b[36m4499.0610\u001b[0m  \u001b[32m26868389.9201\u001b[0m  \u001b[35m20241549.7083\u001b[0m  0.0488\n",
      "   1019  \u001b[36m4498.4235\u001b[0m  \u001b[32m26852878.9358\u001b[0m  \u001b[35m20235814.9444\u001b[0m  0.0659\n",
      "   1020  \u001b[36m4497.8448\u001b[0m  \u001b[32m26837145.2431\u001b[0m  \u001b[35m20230609.4444\u001b[0m  0.0506\n",
      "   1021  \u001b[36m4497.3566\u001b[0m  \u001b[32m26821159.1033\u001b[0m  \u001b[35m20226217.8472\u001b[0m  0.0497\n",
      "   1022  \u001b[36m4496.9650\u001b[0m  \u001b[32m26804824.4939\u001b[0m  \u001b[35m20222693.0278\u001b[0m  0.0655\n",
      "   1023  \u001b[36m4496.4161\u001b[0m  \u001b[32m26787828.4488\u001b[0m  \u001b[35m20217758.8056\u001b[0m  0.0531\n",
      "   1024  \u001b[36m4495.7713\u001b[0m  \u001b[32m26771306.3351\u001b[0m  \u001b[35m20211960.8889\u001b[0m  0.0510\n",
      "   1025  \u001b[36m4495.0264\u001b[0m  \u001b[32m26754973.1753\u001b[0m  \u001b[35m20205261.9306\u001b[0m  0.0559\n",
      "   1026  \u001b[36m4494.2530\u001b[0m  \u001b[32m26738869.1155\u001b[0m  \u001b[35m20198311.2292\u001b[0m  0.0616\n",
      "   1027  \u001b[36m4493.4984\u001b[0m  \u001b[32m26722870.5825\u001b[0m  \u001b[35m20191526.5208\u001b[0m  0.0551\n",
      "   1028  \u001b[36m4492.7920\u001b[0m  \u001b[32m26706895.5087\u001b[0m  \u001b[35m20185182.2361\u001b[0m  0.0554\n",
      "   1029  \u001b[36m4492.1463\u001b[0m  \u001b[32m26690883.8168\u001b[0m  \u001b[35m20179377.3472\u001b[0m  0.0633\n",
      "   1030  \u001b[36m4491.5823\u001b[0m  \u001b[32m26674778.0747\u001b[0m  \u001b[35m20174311.7639\u001b[0m  0.0529\n",
      "   1031  \u001b[36m4491.1239\u001b[0m  \u001b[32m26658529.7049\u001b[0m  \u001b[35m20170192.4167\u001b[0m  0.0492\n",
      "   1032  \u001b[36m4490.8086\u001b[0m  \u001b[32m26642094.3220\u001b[0m  \u001b[35m20167359.2917\u001b[0m  0.0567\n",
      "   1033  \u001b[36m4490.6672\u001b[0m  \u001b[32m26625388.8186\u001b[0m  \u001b[35m20166091.0278\u001b[0m  0.0512\n",
      "   1034  4490.6717  \u001b[32m26608312.4444\u001b[0m  20166131.7222  0.0520\n",
      "   1035  \u001b[36m4490.5739\u001b[0m  \u001b[32m26590704.9983\u001b[0m  \u001b[35m20165254.8333\u001b[0m  0.0492\n",
      "   1036  \u001b[36m4490.2289\u001b[0m  \u001b[32m26572964.8438\u001b[0m  \u001b[35m20162155.8194\u001b[0m  0.0555\n",
      "   1037  \u001b[36m4489.8508\u001b[0m  \u001b[32m26555653.7977\u001b[0m  \u001b[35m20158761.3819\u001b[0m  0.0516\n",
      "   1038  \u001b[36m4489.5231\u001b[0m  \u001b[32m26538448.4774\u001b[0m  \u001b[35m20155820.0278\u001b[0m  0.0529\n",
      "   1039  \u001b[36m4489.1378\u001b[0m  \u001b[32m26521040.9531\u001b[0m  \u001b[35m20152357.6250\u001b[0m  0.0548\n",
      "   1040  \u001b[36m4488.6677\u001b[0m  \u001b[32m26503637.7101\u001b[0m  \u001b[35m20148139.0069\u001b[0m  0.0496\n",
      "   1041  \u001b[36m4488.0628\u001b[0m  \u001b[32m26486147.7951\u001b[0m  \u001b[35m20142706.4306\u001b[0m  0.0539\n",
      "   1042  \u001b[36m4487.4743\u001b[0m  \u001b[32m26468859.0269\u001b[0m  \u001b[35m20137425.3750\u001b[0m  0.0504\n",
      "   1043  \u001b[36m4486.9417\u001b[0m  \u001b[32m26451600.4210\u001b[0m  \u001b[35m20132641.9792\u001b[0m  0.0495\n",
      "   1044  \u001b[36m4486.3562\u001b[0m  \u001b[32m26434142.7483\u001b[0m  \u001b[35m20127390.8611\u001b[0m  0.0510\n",
      "   1045  \u001b[36m4485.7004\u001b[0m  \u001b[32m26416693.5226\u001b[0m  \u001b[35m20121506.6806\u001b[0m  0.0565\n",
      "   1046  \u001b[36m4485.0672\u001b[0m  \u001b[32m26399359.5069\u001b[0m  \u001b[35m20115827.1528\u001b[0m  0.0479\n",
      "   1047  \u001b[36m4484.4940\u001b[0m  \u001b[32m26382017.9028\u001b[0m  \u001b[35m20110688.8611\u001b[0m  0.0491\n",
      "   1048  \u001b[36m4483.9512\u001b[0m  \u001b[32m26364585.2934\u001b[0m  \u001b[35m20105818.5903\u001b[0m  0.0493\n",
      "   1049  \u001b[36m4483.2511\u001b[0m  \u001b[32m26346875.2431\u001b[0m  \u001b[35m20099539.1528\u001b[0m  0.0560\n",
      "   1050  \u001b[36m4482.4435\u001b[0m  \u001b[32m26329302.6233\u001b[0m  \u001b[35m20092299.5764\u001b[0m  0.0494\n",
      "   1051  \u001b[36m4481.6044\u001b[0m  \u001b[32m26311854.9280\u001b[0m  \u001b[35m20084781.9583\u001b[0m  0.0554\n",
      "   1052  \u001b[36m4480.7584\u001b[0m  \u001b[32m26294430.3967\u001b[0m  \u001b[35m20077196.8403\u001b[0m  0.0529\n",
      "   1053  \u001b[36m4479.9230\u001b[0m  \u001b[32m26277003.2726\u001b[0m  \u001b[35m20069709.6806\u001b[0m  0.0502\n",
      "   1054  \u001b[36m4479.1048\u001b[0m  \u001b[32m26259553.9583\u001b[0m  \u001b[35m20062379.7083\u001b[0m  0.0571\n",
      "   1055  \u001b[36m4478.2948\u001b[0m  \u001b[32m26242066.2535\u001b[0m  \u001b[35m20055124.6528\u001b[0m  0.0515\n",
      "   1056  \u001b[36m4477.4680\u001b[0m  \u001b[32m26224507.4479\u001b[0m  \u001b[35m20047719.6319\u001b[0m  0.0524\n",
      "   1057  \u001b[36m4476.6353\u001b[0m  \u001b[32m26206908.1719\u001b[0m  \u001b[35m20040264.2500\u001b[0m  0.0498\n",
      "   1058  \u001b[36m4475.8085\u001b[0m  \u001b[32m26189259.1736\u001b[0m  \u001b[35m20032861.2500\u001b[0m  0.0589\n",
      "   1059  \u001b[36m4474.9963\u001b[0m  \u001b[32m26171542.6814\u001b[0m  \u001b[35m20025594.0556\u001b[0m  0.0636\n",
      "   1060  \u001b[36m4474.2119\u001b[0m  \u001b[32m26153748.3533\u001b[0m  \u001b[35m20018572.0833\u001b[0m  0.0507\n",
      "   1061  \u001b[36m4473.4658\u001b[0m  \u001b[32m26135853.2674\u001b[0m  \u001b[35m20011898.9167\u001b[0m  0.0555\n",
      "   1062  \u001b[36m4472.7826\u001b[0m  \u001b[32m26117839.4583\u001b[0m  \u001b[35m20005781.5417\u001b[0m  0.0510\n",
      "   1063  \u001b[36m4472.1903\u001b[0m  \u001b[32m26099672.8464\u001b[0m  \u001b[35m20000485.7361\u001b[0m  0.0562\n",
      "   1064  \u001b[36m4471.6892\u001b[0m  \u001b[32m26081313.5365\u001b[0m  \u001b[35m19996006.9167\u001b[0m  0.0633\n",
      "   1065  \u001b[36m4471.0536\u001b[0m  \u001b[32m26062597.7066\u001b[0m  \u001b[35m19990319.4097\u001b[0m  0.0514\n",
      "   1066  \u001b[36m4470.1693\u001b[0m  \u001b[32m26043822.2127\u001b[0m  \u001b[35m19982413.9792\u001b[0m  0.0579\n",
      "   1067  \u001b[36m4469.2147\u001b[0m  \u001b[32m26025276.0651\u001b[0m  \u001b[35m19973881.3056\u001b[0m  0.0512\n",
      "   1068  \u001b[36m4468.2666\u001b[0m  \u001b[32m26006798.7109\u001b[0m  \u001b[35m19965405.6597\u001b[0m  0.0577\n",
      "   1069  \u001b[36m4467.3547\u001b[0m  \u001b[32m25988323.8047\u001b[0m  \u001b[35m19957257.0556\u001b[0m  0.0509\n",
      "   1070  \u001b[36m4466.4740\u001b[0m  \u001b[32m25969801.4366\u001b[0m  \u001b[35m19949390.6528\u001b[0m  0.0518\n",
      "   1071  \u001b[36m4465.5633\u001b[0m  \u001b[32m25951195.9019\u001b[0m  \u001b[35m19941256.3333\u001b[0m  0.0480\n",
      "   1072  \u001b[36m4464.6353\u001b[0m  \u001b[32m25932567.8012\u001b[0m  \u001b[35m19932971.6111\u001b[0m  0.0547\n",
      "   1073  \u001b[36m4463.7063\u001b[0m  \u001b[32m25913915.1024\u001b[0m  \u001b[35m19924674.5139\u001b[0m  0.0504\n",
      "   1074  \u001b[36m4462.7792\u001b[0m  \u001b[32m25895218.7413\u001b[0m  \u001b[35m19916398.2917\u001b[0m  0.0520\n",
      "   1075  \u001b[36m4461.8539\u001b[0m  \u001b[32m25876482.3585\u001b[0m  \u001b[35m19908138.3264\u001b[0m  0.0504\n",
      "   1076  \u001b[36m4460.9282\u001b[0m  \u001b[32m25857690.7778\u001b[0m  \u001b[35m19899879.1111\u001b[0m  0.0514\n",
      "   1077  \u001b[36m4460.0027\u001b[0m  \u001b[32m25838845.1233\u001b[0m  \u001b[35m19891624.5972\u001b[0m  0.0602\n",
      "   1078  \u001b[36m4459.0755\u001b[0m  \u001b[32m25819946.2439\u001b[0m  \u001b[35m19883355.3403\u001b[0m  0.0509\n",
      "   1079  \u001b[36m4458.1489\u001b[0m  \u001b[32m25800999.1042\u001b[0m  \u001b[35m19875089.8194\u001b[0m  0.0528\n",
      "   1080  \u001b[36m4457.2245\u001b[0m  \u001b[32m25782005.1762\u001b[0m  \u001b[35m19866851.1250\u001b[0m  0.0574\n",
      "   1081  \u001b[36m4456.3009\u001b[0m  \u001b[32m25762948.4089\u001b[0m  \u001b[35m19858618.9097\u001b[0m  0.0553\n",
      "   1082  \u001b[36m4455.3801\u001b[0m  \u001b[32m25743837.5807\u001b[0m  \u001b[35m19850409.3819\u001b[0m  0.0475\n",
      "   1083  \u001b[36m4454.4589\u001b[0m  \u001b[32m25724670.9045\u001b[0m  \u001b[35m19842201.9792\u001b[0m  0.0537\n",
      "   1084  \u001b[36m4453.5442\u001b[0m  \u001b[32m25705448.2648\u001b[0m  \u001b[35m19834057.1806\u001b[0m  0.0488\n",
      "   1085  \u001b[36m4452.6388\u001b[0m  \u001b[32m25686152.4670\u001b[0m  \u001b[35m19825989.8611\u001b[0m  0.0489\n",
      "   1086  \u001b[36m4451.7439\u001b[0m  \u001b[32m25666779.6241\u001b[0m  \u001b[35m19818023.0764\u001b[0m  0.0545\n",
      "   1087  \u001b[36m4450.8539\u001b[0m  \u001b[32m25647323.6458\u001b[0m  \u001b[35m19810099.3264\u001b[0m  0.0495\n",
      "   1088  \u001b[36m4449.9730\u001b[0m  \u001b[32m25627799.1389\u001b[0m  \u001b[35m19802260.2222\u001b[0m  0.0537\n",
      "   1089  \u001b[36m4449.0990\u001b[0m  \u001b[32m25608188.0512\u001b[0m  \u001b[35m19794479.4722\u001b[0m  0.0474\n",
      "   1090  \u001b[36m4448.2255\u001b[0m  \u001b[32m25588488.5868\u001b[0m  \u001b[35m19786709.9722\u001b[0m  0.0542\n",
      "   1091  \u001b[36m4447.3534\u001b[0m  \u001b[32m25568721.3047\u001b[0m  \u001b[35m19778951.1181\u001b[0m  0.0505\n",
      "   1092  \u001b[36m4446.4797\u001b[0m  \u001b[32m25548886.5590\u001b[0m  \u001b[35m19771180.3750\u001b[0m  0.0548\n",
      "   1093  \u001b[36m4445.6052\u001b[0m  \u001b[32m25528982.4722\u001b[0m  \u001b[35m19763405.2083\u001b[0m  0.0481\n",
      "   1094  \u001b[36m4444.7315\u001b[0m  \u001b[32m25509013.6424\u001b[0m  \u001b[35m19755638.8889\u001b[0m  0.0509\n",
      "   1095  \u001b[36m4443.8614\u001b[0m  \u001b[32m25488980.6606\u001b[0m  \u001b[35m19747902.9792\u001b[0m  0.0527\n",
      "   1096  \u001b[36m4442.9934\u001b[0m  \u001b[32m25468885.8707\u001b[0m  \u001b[35m19740188.7778\u001b[0m  0.0620\n",
      "   1097  \u001b[36m4442.1126\u001b[0m  \u001b[32m25448704.5104\u001b[0m  \u001b[35m19732365.3125\u001b[0m  0.0517\n",
      "   1098  \u001b[36m4441.2235\u001b[0m  \u001b[32m25428516.3073\u001b[0m  \u001b[35m19724466.0139\u001b[0m  0.0507\n",
      "   1099  \u001b[36m4440.3342\u001b[0m  \u001b[32m25408342.5156\u001b[0m  \u001b[35m19716567.8611\u001b[0m  0.0518\n",
      "   1100  \u001b[36m4439.4493\u001b[0m  \u001b[32m25388165.0365\u001b[0m  \u001b[35m19708710.0833\u001b[0m  0.0479\n",
      "   1101  \u001b[36m4438.5637\u001b[0m  \u001b[32m25367966.7179\u001b[0m  \u001b[35m19700847.4097\u001b[0m  0.0520\n",
      "   1102  \u001b[36m4437.6681\u001b[0m  \u001b[32m25347756.7595\u001b[0m  \u001b[35m19692896.9861\u001b[0m  0.0479\n",
      "   1103  \u001b[36m4436.7632\u001b[0m  \u001b[32m25327541.9488\u001b[0m  \u001b[35m19684867.0069\u001b[0m  0.0504\n",
      "   1104  \u001b[36m4435.8546\u001b[0m  \u001b[32m25307326.2257\u001b[0m  \u001b[35m19676805.8889\u001b[0m  0.0488\n",
      "   1105  \u001b[36m4434.9455\u001b[0m  \u001b[32m25287109.4549\u001b[0m  \u001b[35m19668742.7153\u001b[0m  0.0536\n",
      "   1106  \u001b[36m4434.0381\u001b[0m  \u001b[32m25266883.3056\u001b[0m  \u001b[35m19660693.7917\u001b[0m  0.0508\n",
      "   1107  \u001b[36m4433.1337\u001b[0m  \u001b[32m25246646.7778\u001b[0m  \u001b[35m19652672.5139\u001b[0m  0.0557\n",
      "   1108  \u001b[36m4432.2349\u001b[0m  \u001b[32m25226389.7214\u001b[0m  \u001b[35m19644704.4722\u001b[0m  0.0514\n",
      "   1109  \u001b[36m4431.3407\u001b[0m  \u001b[32m25206111.2760\u001b[0m  \u001b[35m19636782.2778\u001b[0m  0.0509\n",
      "   1110  \u001b[36m4430.4519\u001b[0m  \u001b[32m25185814.2839\u001b[0m  \u001b[35m19628904.2708\u001b[0m  0.0547\n",
      "   1111  \u001b[36m4429.5670\u001b[0m  \u001b[32m25165489.9792\u001b[0m  \u001b[35m19621060.5694\u001b[0m  0.0592\n",
      "   1112  \u001b[36m4428.6845\u001b[0m  \u001b[32m25145134.8411\u001b[0m  \u001b[35m19613248.0417\u001b[0m  0.0718\n",
      "   1113  \u001b[36m4427.8096\u001b[0m  \u001b[32m25124764.2092\u001b[0m  \u001b[35m19605500.3472\u001b[0m  0.0695\n",
      "   1114  \u001b[36m4426.9409\u001b[0m  \u001b[32m25104361.1840\u001b[0m  \u001b[35m19597807.7778\u001b[0m  0.0620\n",
      "   1115  \u001b[36m4426.0764\u001b[0m  \u001b[32m25083924.4462\u001b[0m  \u001b[35m19590152.6528\u001b[0m  0.0545\n",
      "   1116  \u001b[36m4425.2168\u001b[0m  \u001b[32m25063460.7066\u001b[0m  \u001b[35m19582545.5000\u001b[0m  0.0487\n",
      "   1117  \u001b[36m4424.3680\u001b[0m  \u001b[32m25042962.3377\u001b[0m  \u001b[35m19575033.0139\u001b[0m  0.0508\n",
      "   1118  \u001b[36m4423.5273\u001b[0m  \u001b[32m25022426.3351\u001b[0m  \u001b[35m19567593.4306\u001b[0m  0.0509\n",
      "   1119  \u001b[36m4422.6983\u001b[0m  \u001b[32m25001850.8090\u001b[0m  \u001b[35m19560258.4583\u001b[0m  0.0535\n",
      "   1120  \u001b[36m4421.8781\u001b[0m  \u001b[32m24981224.4123\u001b[0m  \u001b[35m19553006.5278\u001b[0m  0.0500\n",
      "   1121  \u001b[36m4421.0677\u001b[0m  \u001b[32m24960547.6944\u001b[0m  \u001b[35m19545838.5972\u001b[0m  0.0499\n",
      "   1122  \u001b[36m4420.2670\u001b[0m  \u001b[32m24939824.2153\u001b[0m  \u001b[35m19538757.5972\u001b[0m  0.0536\n",
      "   1123  \u001b[36m4419.4751\u001b[0m  \u001b[32m24919039.1172\u001b[0m  \u001b[35m19531759.3056\u001b[0m  0.0494\n",
      "   1124  \u001b[36m4418.6926\u001b[0m  \u001b[32m24898205.4714\u001b[0m  \u001b[35m19524842.9167\u001b[0m  0.0516\n",
      "   1125  \u001b[36m4417.9178\u001b[0m  \u001b[32m24877315.5556\u001b[0m  \u001b[35m19517996.7431\u001b[0m  0.0494\n",
      "   1126  \u001b[36m4417.1484\u001b[0m  \u001b[32m24856365.8438\u001b[0m  \u001b[35m19511201.3194\u001b[0m  0.0537\n",
      "   1127  \u001b[36m4416.3872\u001b[0m  \u001b[32m24835359.8542\u001b[0m  \u001b[35m19504477.3750\u001b[0m  0.0500\n",
      "   1128  \u001b[36m4415.6343\u001b[0m  \u001b[32m24814301.1415\u001b[0m  \u001b[35m19497824.6250\u001b[0m  0.0555\n",
      "   1129  \u001b[36m4414.8803\u001b[0m  \u001b[32m24793164.7873\u001b[0m  \u001b[35m19491168.4375\u001b[0m  0.0489\n",
      "   1130  \u001b[36m4414.1271\u001b[0m  \u001b[32m24771972.4323\u001b[0m  \u001b[35m19484518.0694\u001b[0m  0.0550\n",
      "   1131  \u001b[36m4413.3767\u001b[0m  \u001b[32m24750735.9392\u001b[0m  \u001b[35m19477893.1458\u001b[0m  0.0525\n",
      "   1132  \u001b[36m4412.6294\u001b[0m  \u001b[32m24729436.4531\u001b[0m  \u001b[35m19471299.0000\u001b[0m  0.0542\n",
      "   1133  \u001b[36m4411.8862\u001b[0m  \u001b[32m24708077.9470\u001b[0m  \u001b[35m19464739.2083\u001b[0m  0.0515\n",
      "   1134  \u001b[36m4411.1479\u001b[0m  \u001b[32m24686664.9010\u001b[0m  \u001b[35m19458227.8472\u001b[0m  0.0497\n",
      "   1135  \u001b[36m4410.4161\u001b[0m  \u001b[32m24665190.3177\u001b[0m  \u001b[35m19451771.3125\u001b[0m  0.0555\n",
      "   1136  \u001b[36m4409.6900\u001b[0m  \u001b[32m24643651.2943\u001b[0m  \u001b[35m19445365.1111\u001b[0m  0.0505\n",
      "   1137  \u001b[36m4408.9711\u001b[0m  \u001b[32m24622053.1623\u001b[0m  \u001b[35m19439026.3819\u001b[0m  0.0499\n",
      "   1138  \u001b[36m4408.2588\u001b[0m  \u001b[32m24600389.1970\u001b[0m  \u001b[35m19432746.1806\u001b[0m  0.0494\n",
      "   1139  \u001b[36m4407.5533\u001b[0m  \u001b[32m24578661.6050\u001b[0m  \u001b[35m19426525.7569\u001b[0m  0.0536\n",
      "   1140  \u001b[36m4406.8547\u001b[0m  \u001b[32m24556860.4583\u001b[0m  \u001b[35m19420369.9583\u001b[0m  0.0486\n",
      "   1141  \u001b[36m4406.1652\u001b[0m  \u001b[32m24535001.3733\u001b[0m  \u001b[35m19414292.9722\u001b[0m  0.0624\n",
      "   1142  \u001b[36m4405.4834\u001b[0m  \u001b[32m24513070.5660\u001b[0m  \u001b[35m19408285.6806\u001b[0m  0.0614\n",
      "   1143  \u001b[36m4404.8071\u001b[0m  \u001b[32m24491068.6328\u001b[0m  \u001b[35m19402326.1667\u001b[0m  0.0498\n",
      "   1144  \u001b[36m4404.1383\u001b[0m  \u001b[32m24468999.5512\u001b[0m  \u001b[35m19396432.9583\u001b[0m  0.0492\n",
      "   1145  \u001b[36m4403.4759\u001b[0m  \u001b[32m24446859.3220\u001b[0m  \u001b[35m19390600.9444\u001b[0m  0.0494\n",
      "   1146  \u001b[36m4402.8207\u001b[0m  \u001b[32m24424653.8134\u001b[0m  \u001b[35m19384830.5972\u001b[0m  0.0585\n",
      "   1147  \u001b[36m4402.1729\u001b[0m  \u001b[32m24402375.6406\u001b[0m  \u001b[35m19379122.6528\u001b[0m  0.0508\n",
      "   1148  \u001b[36m4401.5293\u001b[0m  \u001b[32m24380028.8220\u001b[0m  \u001b[35m19373462.5556\u001b[0m  0.0513\n",
      "   1149  \u001b[36m4400.8947\u001b[0m  \u001b[32m24357611.1085\u001b[0m  \u001b[35m19367875.9028\u001b[0m  0.0492\n",
      "   1150  \u001b[36m4400.2675\u001b[0m  \u001b[32m24335121.0642\u001b[0m  \u001b[35m19362352.8403\u001b[0m  0.0538\n",
      "   1151  \u001b[36m4399.6484\u001b[0m  \u001b[32m24312562.5391\u001b[0m  \u001b[35m19356904.7361\u001b[0m  0.0479\n",
      "   1152  \u001b[36m4399.0410\u001b[0m  \u001b[32m24289952.4410\u001b[0m  \u001b[35m19351562.9861\u001b[0m  0.0637\n",
      "   1153  \u001b[36m4398.4488\u001b[0m  \u001b[32m24267278.3003\u001b[0m  \u001b[35m19346352.0139\u001b[0m  0.0499\n",
      "   1154  \u001b[36m4397.8740\u001b[0m  \u001b[32m24244541.7804\u001b[0m  \u001b[35m19341296.2361\u001b[0m  0.0522\n",
      "   1155  \u001b[36m4397.3133\u001b[0m  \u001b[32m24221744.8550\u001b[0m  \u001b[35m19336361.4306\u001b[0m  0.0506\n",
      "   1156  \u001b[36m4396.7681\u001b[0m  \u001b[32m24198885.4870\u001b[0m  \u001b[35m19331569.7986\u001b[0m  0.0506\n",
      "   1157  \u001b[36m4396.2388\u001b[0m  \u001b[32m24175963.8802\u001b[0m  \u001b[35m19326917.7014\u001b[0m  0.0557\n",
      "   1158  \u001b[36m4395.7040\u001b[0m  \u001b[32m24152951.8681\u001b[0m  \u001b[35m19322213.1458\u001b[0m  0.0563\n",
      "   1159  \u001b[36m4395.1592\u001b[0m  \u001b[32m24129941.7161\u001b[0m  \u001b[35m19317423.2986\u001b[0m  0.0700\n",
      "   1160  \u001b[36m4394.6112\u001b[0m  \u001b[32m24106955.3247\u001b[0m  \u001b[35m19312609.7222\u001b[0m  0.0567\n",
      "   1161  \u001b[36m4394.0674\u001b[0m  \u001b[32m24083994.6823\u001b[0m  \u001b[35m19307828.6736\u001b[0m  0.0546\n",
      "   1162  \u001b[36m4393.5271\u001b[0m  \u001b[32m24061044.9835\u001b[0m  \u001b[35m19303078.8750\u001b[0m  0.0621\n",
      "   1163  \u001b[36m4392.9928\u001b[0m  \u001b[32m24038098.3750\u001b[0m  \u001b[35m19298385.1319\u001b[0m  0.0502\n",
      "   1164  \u001b[36m4392.4620\u001b[0m  \u001b[32m24015160.3941\u001b[0m  \u001b[35m19293723.2569\u001b[0m  0.0586\n",
      "   1165  \u001b[36m4391.9374\u001b[0m  \u001b[32m23992225.5260\u001b[0m  \u001b[35m19289115.6667\u001b[0m  0.0498\n",
      "   1166  \u001b[36m4391.4144\u001b[0m  \u001b[32m23969285.7865\u001b[0m  \u001b[35m19284523.2778\u001b[0m  0.0537\n",
      "   1167  \u001b[36m4390.8949\u001b[0m  \u001b[32m23946357.6814\u001b[0m  \u001b[35m19279957.8542\u001b[0m  0.0509\n",
      "   1168  \u001b[36m4390.3756\u001b[0m  \u001b[32m23923423.1962\u001b[0m  \u001b[35m19275395.9236\u001b[0m  0.0520\n",
      "   1169  \u001b[36m4389.8574\u001b[0m  \u001b[32m23900500.0234\u001b[0m  \u001b[35m19270847.4792\u001b[0m  0.0560\n",
      "   1170  \u001b[36m4389.3437\u001b[0m  \u001b[32m23877599.7830\u001b[0m  \u001b[35m19266338.3125\u001b[0m  0.0527\n",
      "   1171  \u001b[36m4388.8358\u001b[0m  \u001b[32m23854730.0391\u001b[0m  \u001b[35m19261878.3194\u001b[0m  0.0533\n",
      "   1172  \u001b[36m4388.3366\u001b[0m  \u001b[32m23831889.0825\u001b[0m  \u001b[35m19257497.1806\u001b[0m  0.0637\n",
      "   1173  \u001b[36m4387.8473\u001b[0m  \u001b[32m23809062.9852\u001b[0m  \u001b[35m19253204.6806\u001b[0m  0.0571\n",
      "   1174  \u001b[36m4387.3662\u001b[0m  \u001b[32m23786258.1693\u001b[0m  \u001b[35m19248980.5833\u001b[0m  0.0546\n",
      "   1175  \u001b[36m4386.8962\u001b[0m  \u001b[32m23763474.3576\u001b[0m  \u001b[35m19244858.4306\u001b[0m  0.0556\n",
      "   1176  \u001b[36m4386.4348\u001b[0m  \u001b[32m23740714.8220\u001b[0m  \u001b[35m19240811.2083\u001b[0m  0.0579\n",
      "   1177  \u001b[36m4385.9909\u001b[0m  \u001b[32m23717979.1454\u001b[0m  \u001b[35m19236917.2708\u001b[0m  0.0494\n",
      "   1178  \u001b[36m4385.5732\u001b[0m  \u001b[32m23695256.5074\u001b[0m  \u001b[35m19233248.5000\u001b[0m  0.0535\n",
      "   1179  \u001b[36m4385.1780\u001b[0m  \u001b[32m23672535.6628\u001b[0m  \u001b[35m19229787.3194\u001b[0m  0.0571\n",
      "   1180  \u001b[36m4384.8035\u001b[0m  \u001b[32m23649825.4475\u001b[0m  \u001b[35m19226501.7847\u001b[0m  0.0525\n",
      "   1181  \u001b[36m4384.4480\u001b[0m  \u001b[32m23627116.4891\u001b[0m  \u001b[35m19223383.6944\u001b[0m  0.0576\n",
      "   1182  \u001b[36m4384.1093\u001b[0m  \u001b[32m23604412.5720\u001b[0m  \u001b[35m19220416.0694\u001b[0m  0.0509\n",
      "   1183  \u001b[36m4383.7874\u001b[0m  \u001b[32m23581711.5690\u001b[0m  \u001b[35m19217592.5278\u001b[0m  0.0552\n",
      "   1184  \u001b[36m4383.4806\u001b[0m  \u001b[32m23559015.9996\u001b[0m  \u001b[35m19214900.3194\u001b[0m  0.0540\n",
      "   1185  \u001b[36m4383.1833\u001b[0m  \u001b[32m23536316.9731\u001b[0m  \u001b[35m19212295.7917\u001b[0m  0.0521\n",
      "   1186  \u001b[36m4382.9029\u001b[0m  \u001b[32m23513627.2253\u001b[0m  \u001b[35m19209835.7431\u001b[0m  0.0538\n",
      "   1187  \u001b[36m4382.6339\u001b[0m  \u001b[32m23490938.5573\u001b[0m  \u001b[35m19207480.0208\u001b[0m  0.0548\n",
      "   1188  \u001b[36m4382.3793\u001b[0m  \u001b[32m23468251.7786\u001b[0m  \u001b[35m19205244.4861\u001b[0m  0.0585\n",
      "   1189  \u001b[36m4382.1378\u001b[0m  \u001b[32m23445570.8633\u001b[0m  \u001b[35m19203132.5486\u001b[0m  0.0524\n",
      "   1190  \u001b[36m4381.9096\u001b[0m  \u001b[32m23422891.5321\u001b[0m  \u001b[35m19201133.6806\u001b[0m  0.0587\n",
      "   1191  \u001b[36m4381.6949\u001b[0m  \u001b[32m23400218.0178\u001b[0m  \u001b[35m19199247.0694\u001b[0m  0.0522\n",
      "   1192  \u001b[36m4381.4927\u001b[0m  \u001b[32m23377540.7435\u001b[0m  \u001b[35m19197479.9444\u001b[0m  0.0563\n",
      "   1193  \u001b[36m4381.3046\u001b[0m  \u001b[32m23354868.2652\u001b[0m  \u001b[35m19195829.7222\u001b[0m  0.0529\n",
      "   1194  \u001b[36m4381.1295\u001b[0m  \u001b[32m23332193.1489\u001b[0m  \u001b[35m19194297.3889\u001b[0m  0.0527\n",
      "   1195  \u001b[36m4380.9691\u001b[0m  \u001b[32m23309520.2101\u001b[0m  \u001b[35m19192893.1250\u001b[0m  0.0600\n",
      "   1196  \u001b[36m4380.8216\u001b[0m  \u001b[32m23286840.8911\u001b[0m  \u001b[35m19191597.9861\u001b[0m  0.0523\n",
      "   1197  \u001b[36m4380.6892\u001b[0m  \u001b[32m23264162.6871\u001b[0m  \u001b[35m19190437.0625\u001b[0m  0.0534\n",
      "   1198  \u001b[36m4380.5712\u001b[0m  \u001b[32m23241477.9566\u001b[0m  \u001b[35m19189406.8819\u001b[0m  0.0516\n",
      "   1199  \u001b[36m4380.4680\u001b[0m  \u001b[32m23218793.8416\u001b[0m  \u001b[35m19188501.8611\u001b[0m  0.0555\n",
      "   1200  \u001b[36m4380.3790\u001b[0m  \u001b[32m23196099.4570\u001b[0m  \u001b[35m19187720.2431\u001b[0m  0.0494\n",
      "   1201  \u001b[36m4380.3030\u001b[0m  \u001b[32m23173397.9032\u001b[0m  \u001b[35m19187053.8681\u001b[0m  0.0549\n",
      "   1202  \u001b[36m4380.2420\u001b[0m  \u001b[32m23150692.4028\u001b[0m  \u001b[35m19186517.8472\u001b[0m  0.0587\n",
      "   1203  \u001b[36m4380.1963\u001b[0m  \u001b[32m23127983.1997\u001b[0m  \u001b[35m19186118.9167\u001b[0m  0.0515\n",
      "   1204  \u001b[36m4380.1678\u001b[0m  \u001b[32m23105268.7431\u001b[0m  \u001b[35m19185870.2986\u001b[0m  0.0566\n",
      "   1205  \u001b[36m4380.1537\u001b[0m  \u001b[32m23082544.0864\u001b[0m  \u001b[35m19185748.8611\u001b[0m  0.0533\n",
      "   1206  4380.1559  \u001b[32m23059808.9158\u001b[0m  19185764.7292  0.0552\n",
      "Stopping since RMSE has not improved in the last 5 epochs.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomizedSearchCV(cv=3,\n",
       "                   estimator=<class 'skorch.regressor.NeuralNetRegressor'>[uninitialized](\n",
       "  module=Model(\n",
       "    (layer1): Linear(in_features=5, out_features=4, bias=True)\n",
       "    (dp): Dropout(p=0, inplace=False)\n",
       "    (layer2): Linear(in_features=4, out_features=3, bias=True)\n",
       "    (layer3): Linear(in_features=3, out_features=3, bias=True)\n",
       "    (layer4): Linear(in_features=3, out_features=3, bi...\n",
       "                   param_distributions={'lr': [0.001, 0.0001],\n",
       "                                        'module__activation': [LeakyReLU(negative_slope=0.01),\n",
       "                                                               Tanh(), ReLU(),\n",
       "                                                               ELU(alpha=1.0)],\n",
       "                                        'module__dropout': [0, 0.2, 0.5],\n",
       "                                        'module__n_hidden_neurons_1': range(15, 30, 5),\n",
       "                                        'module__n_hidden_neurons_2': range(10, 20, 4),\n",
       "                                        'module__n_hidden_neurons_3': range(6, 13, 3),\n",
       "                                        'module__n_hidden_neurons_4': range(3, 8, 2)},\n",
       "                   scoring='neg_root_mean_squared_error', verbose=3)"
      ]
     },
     "execution_count": 252,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid = RandomizedSearchCV(skorch_regressor, params, cv=3, scoring=\"neg_root_mean_squared_error\", verbose=3) \n",
    "grid.fit(features_train, target_train.reshape(-1, 1)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "4be04e7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'module__n_hidden_neurons_4': 5,\n",
       " 'module__n_hidden_neurons_3': 9,\n",
       " 'module__n_hidden_neurons_2': 18,\n",
       " 'module__n_hidden_neurons_1': 25,\n",
       " 'module__dropout': 0,\n",
       " 'module__activation': ELU(alpha=1.0),\n",
       " 'lr': 0.001}"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "id": "70117c2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_net = Model(25, 18, 9, 5, 0, nn.ELU())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "id": "f297bd53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE - 4743.006008851348\n",
      "RMSE - 4736.595401762747\n",
      "RMSE - 4719.22896244715\n",
      "RMSE - 4704.570331071691\n",
      "RMSE - 4664.737077263841\n",
      "RMSE - 4641.404097899686\n",
      "RMSE - 4612.649780765932\n",
      "RMSE - 4603.297296503888\n",
      "RMSE - 4581.833912310659\n",
      "RMSE - 4560.1929783727355\n",
      "RMSE - 4544.557184148968\n",
      "RMSE - 4524.731373241952\n",
      "RMSE - 4501.272931071831\n",
      "RMSE - 4480.045758694882\n",
      "RMSE - 4457.774332556551\n",
      "RMSE - 4435.259631633756\n",
      "RMSE - 4410.76750690852\n",
      "RMSE - 4380.7771000131925\n",
      "RMSE - 4352.307204230878\n",
      "RMSE - 4319.540716326216\n",
      "RMSE - 4296.156654499461\n"
     ]
    }
   ],
   "source": [
    "optimizer = torch.optim.Adam(final_net.parameters(), lr=0.001)\n",
    "\n",
    "loss = nn.L1Loss()\n",
    "\n",
    "num_epochs = 800\n",
    "        \n",
    "for epoch in range(num_epochs):\n",
    "    optimizer.zero_grad()\n",
    "    \n",
    "    preds = final_net.forward(features_train).flatten()\n",
    "\n",
    "    loss_value = loss(preds, target_train)\n",
    "\n",
    "    loss_value.backward()\n",
    "\n",
    "    optimizer.step()\n",
    "\n",
    "    if epoch % 40 == 0 or epoch == num_epochs - 1:\n",
    "        final_net.eval()\n",
    "        test_preds = final_net.forward(features_test)\n",
    "        mse = mean_squared_error(target_test.detach().numpy(), test_preds.detach().numpy())\n",
    "        rmse = mse ** 0.5\n",
    "        print('RMSE -', rmse)\n",
    "                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "fbd3b6b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Target         Preds\n",
      "0   2856.0   2828.000977\n",
      "1  25390.0  18883.132812\n",
      "2   2983.0   2985.605713\n",
      "3  24020.0  20770.062500\n",
      "4   3158.0   3124.079590\n"
     ]
    }
   ],
   "source": [
    "plot_data = pd.DataFrame(target_test)\n",
    "plot_data['Preds'] = test_preds.detach().numpy()\n",
    "plot_data.columns = ['Target', 'Preds']\n",
    "print(plot_data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "id": "775e7f67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Температура звезды')"
      ]
     },
     "execution_count": 267,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 864x864 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 12))\n",
    "fig = plot_data.loc[:12].plot(kind='bar')\n",
    "fig.set_xlabel('Номер звезды в таблице данных')\n",
    "fig.set_ylabel('Температура звезды')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "accurate-infrastructure",
   "metadata": {},
   "source": [
    "## Выводы"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a860727",
   "metadata": {},
   "source": [
    "Как можно заметить, новая и усложненная модель показывает более лучшие результаты. В нее был добавлен dropout, новый слой и функция активации. "
   ]
  }
 ],
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